Module Smaws_Client_Transcribe.Types

The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.

The date and time the specified custom vocabulary was last modified.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code used to create your custom vocabulary. Each custom vocabulary must contain terms in only one language.

A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio.

A unique name, chosen by you, for your custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

The date and time the specified custom vocabulary filter was last modified.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language.

A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (en-US), you can only apply this filter to files that contain English audio.

For a list of supported languages and their associated language codes, refer to the Supported languages table.

A unique name, chosen by you, for your custom vocabulary filter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.

The date and time the specified custom vocabulary was last updated.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code you selected for your custom vocabulary.

The name of the updated custom vocabulary.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.

Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt

Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.

Use this parameter if you want to update your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for updating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFileUri parameter.

Note that if you include Phrases in your request, you cannot use VocabularyFileUri; you must choose one or the other.

Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.

The language code that represents the language of the entries in the custom vocabulary you want to update. Each custom vocabulary must contain terms in only one language.

A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio.

For a list of supported languages and their associated language codes, refer to the Supported languages table.

The name of the custom vocabulary you want to update. Custom vocabulary names are case sensitive.

The date and time the specified custom vocabulary filter was last updated.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code you selected for your custom vocabulary filter.

The name of the updated custom vocabulary filter.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling.

Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt

Note that if you include VocabularyFilterFileUri in your request, you cannot use Words; you must choose one or the other.

Use this parameter if you want to update your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFilterFileUri parameter.

Note that if you include Words in your request, you cannot use VocabularyFilterFileUri; you must choose one or the other.

Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.

The name of the custom vocabulary filter you want to update. Custom vocabulary filter names are case sensitive.

The processing state of your custom medical vocabulary. If the state is READY, you can use the custom vocabulary in a StartMedicalTranscriptionJob request.

The date and time the specified custom medical vocabulary was last updated.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code you selected for your custom medical vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.

The name of the updated custom medical vocabulary.

The Amazon S3 location of the text file that contains your custom medical vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.

Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt

The language code that represents the language of the entries in the custom vocabulary you want to update. US English (en-US) is the only language supported with Amazon Transcribe Medical.

The name of the custom medical vocabulary you want to update. Custom medical vocabulary names are case sensitive.

The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.

The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.

The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include EndTime in your request, you must also include StartTime.

The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include StartTime in your request, you must also include EndTime.

The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.

The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.

The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include EndPercentage in your request, you must also include StartPercentage.

The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include StartPercentage in your request, you must also include EndPercentage.

Set to TRUE to flag periods of speech. Set to FALSE to flag periods of silence

Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.

Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.

Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.

Set to TRUE to flag speech that does not contain interruptions. Set to FALSE to flag speech that contains interruptions.

Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.

Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.

Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.

Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.

Specify the phrases that you want to flag.

Set to TRUE to flag the absence of the phrase that you specified in your request. Set to FALSE to flag the presence of the phrase that you specified in your request.

Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.

Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.

Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.

Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your Targets value, only that exact phrase is flagged.

Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.

Set to TRUE to flag the sentiments that you didn't include in your request. Set to FALSE to flag the sentiments that you specified in your request.

Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.

Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.

Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.

Specify the sentiments that you want to flag.

The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales, the value is 'Sales'.

Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.

The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales, the key is 'Department'.

The input type associated with the specified category. POST_CALL refers to a category that is applied to batch transcriptions; REAL_TIME refers to a category that is applied to streaming transcriptions.

The tags, each in the form of a key:value pair, assigned to the specified call analytics category.

The date and time the specified Call Analytics category was last updated.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-05T12:45:32.691000-07:00 represents 12:45 PM UTC-7 on May 5, 2022.

The date and time the specified Call Analytics category was created.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.

The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.

Provides you with the properties of the Call Analytics category you specified in your UpdateCallAnalyticsCategory request.

Choose whether you want to update a real-time or a post-call category. The input type you specify must match the input type specified when the category was created. For example, if you created a category with the POST_CALL input type, you must use POST_CALL as the input type when updating this category.

The rules used for the updated Call Analytics category. The rules you provide in this field replace the ones that are currently being used in the specified category.

The name of the Call Analytics category you want to update. Category names are case sensitive.

Removes the specified tag keys from the specified Amazon Transcribe resource.

The Amazon Resource Name (ARN) of the Amazon Transcribe resource you want to remove tags from. ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id.

For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name.

Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.

Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select ALL. If you do not include PiiEntityTypes in your request, all PII is redacted.

Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.

When you choose redacted Amazon Transcribe creates only a redacted transcript.

When you choose redacted_and_unredacted Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files).

Specify the category of information you want to redact; PII (personally identifiable information) is the only valid value. You can use PiiEntityTypes to choose which types of PII you want to redact. If you do not include PiiEntityTypes in your request, all PII is redacted.

The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

Provides the total time, in seconds, each identified language is spoken in your media.

Provides the language code for each language identified in your media.

If you include ToxicityDetection in your transcription request, you must also include ToxicityCategories. The only accepted value for this parameter is ALL.

Indicates whether toxicity detection was enabled for the specified transcription job.

The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification, the singular version of this parameter, LanguageCode, is present.

The confidence score associated with the language identified in your media file.

Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.

Indicates whether automatic multi-language identification was enabled (TRUE) for the specified transcription job.

Indicates whether automatic language identification was enabled (TRUE) for the specified transcription job.

The content redaction settings of the transcription job.

Indicates where the specified transcription output is stored.

If the value is CUSTOMER_BUCKET, the location is the Amazon S3 bucket you specified using the OutputBucketName parameter in your request. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If the value is SERVICE_BUCKET, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in the TranscriptFileUri or RedactedTranscriptFileUri field.

If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.

Provides the status of your transcription job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.

The language code used to create your transcription.

The date and time the specified transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time your transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

The Amazon S3 location of the media file you want to redact. For example:

• s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
• s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.

RedactedMediaFileUri produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob) transcription requests.

The Amazon S3 location of the media file you want to transcribe. For example:

• s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
• s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac

Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.

The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn't include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and RedactedTranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn't include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true.

For more information, see Alternative transcriptions.

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate.

For more information, see Alternative transcriptions.

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

For more information, see Transcribing multi-channel audio.

Specify the maximum number of speakers you want to partition in your media.

Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels.

For more information, see Partitioning speakers (diarization).

The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.

Note that if you include DataAccessRoleArn in your request, you must also include AllowDeferredExecution.

Makes it possible to enable job queuing when your concurrent request limit is exceeded. When AllowDeferredExecution is set to true, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. If AllowDeferredExecution is set to false and the number of transcription job requests exceed the concurrent request limit, you get a LimitExceededException error.

If you include AllowDeferredExecution in your request, you must also include DataAccessRoleArn.

Provides the start index value for your subtitle files. If you did not specify a value in your request, the default value of 0 is used.

The Amazon S3 location of your transcript. You can use this URI to access or download your subtitle file. Your subtitle file is stored in the same location as your transcript. If you specified both WebVTT and SubRip subtitle formats, two URIs are provided.

If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If you didn't include OutputBucketName in your transcription job request, your subtitle file is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your subtitle file.

Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.

Provides the format of your subtitle files. If your request included both WebVTT (vtt) and SubRip (srt) formats, both formats are shown.

The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.

The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.

The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.

Provides information about the toxicity detection settings applied to your transcription.

Provides the name and language of all custom language models, custom vocabularies, and custom vocabulary filters that you included in your request.

Indicates whether subtitles were generated with your transcription.

The tags, each in the form of a key:value pair, assigned to the specified transcription job.

The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification requests, refer to the singular version of this parameter, LanguageCode.

The confidence score associated with the language identified in your media file.

Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.

Provides the language codes you specified in your request.

Indicates whether automatic multi-language identification was enabled (TRUE) for the specified transcription job.

Indicates whether automatic language identification was enabled (TRUE) for the specified transcription job.

Indicates whether redaction was enabled in your transcript.

Provides information about how your transcription job was processed. This parameter shows if your request was queued and what data access role was used.

Provides information on the custom language model you included in your request.

Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.

If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job request failed.

The FailureReason field contains one of the following values:

• Unsupported media format.

  The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.

• The media format provided does not match the detected media format.

  The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.

• Invalid sample rate for audio file.

  The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 8,000 and 48,000 hertz.

• The sample rate provided does not match the detected sample rate.

  The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

• Invalid file size: file size too large.

  The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.

• Invalid number of channels: number of channels too large.

  Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.

The date and time the specified transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time the specified transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

Provides you with the Amazon S3 URI you can use to access your transcript.

Provides the Amazon S3 location of the media file you used in your request.

The format of the input media file.

The sample rate, in hertz, of the audio track in your input media file.

The language code used to create your transcription job. This parameter is used with single-language identification. For multi-language identification requests, refer to the plural version of this parameter, LanguageCodes.

Provides the status of the specified transcription job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.

The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

The Amazon Resource Name (ARN) of the resource you want to tag. ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id.

For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name.

Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.

Provides detailed information about the current transcription job, including job status and, if applicable, failure reason.

Specify the starting value that is assigned to the first subtitle segment.

The default start index for Amazon Transcribe is 0, which differs from the more widely used standard of 1. If you're uncertain which value to use, we recommend choosing 1, as this may improve compatibility with other services.

Specify the output format for your subtitle file; if you select both WebVTT (vtt) and SubRip (srt) formats, two output files are generated.

Enables toxic speech detection in your transcript. If you include ToxicityDetection in your request, you must also include ToxicityCategories.

For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName). Note that multi-language identification (IdentifyMultipleLanguages) doesn't support custom language models.

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName sub-parameter. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead the parameter with the VocabularyName or VocabularyFilterName (or both) sub-parameter.

Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.

You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

If you include LanguageOptions in your request, you must also include IdentifyLanguage.

For more information, refer to Supported languages.

To transcribe speech in Modern Standard Arabic (ar-SA)in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), in Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.

Enables automatic multi-language identification in your transcription job request. Use this parameter if your media file contains more than one language. If your media contains only one language, use IdentifyLanguage instead.

If you include IdentifyMultipleLanguages, you can optionally include a list of language codes, using LanguageOptions, that you think may be present in your media file. Including LanguageOptions restricts IdentifyLanguage to only the language options that you specify, which can improve transcription accuracy.

If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic language identification request, include LanguageIdSettings with the relevant sub-parameters (VocabularyName and VocabularyFilterName). If you include LanguageIdSettings, also include LanguageOptions.

Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.

Enables automatic language identification in your transcription job request. Use this parameter if your media file contains only one language. If your media contains multiple languages, use IdentifyMultipleLanguages instead.

If you include IdentifyLanguage, you can optionally include a list of language codes, using LanguageOptions, that you think may be present in your media file. Including LanguageOptions restricts IdentifyLanguage to only the language options that you specify, which can improve transcription accuracy.

If you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter to your automatic language identification request, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName). If you include LanguageIdSettings, also include LanguageOptions.

Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.

Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use ContentRedaction, you must also include the sub-parameters: RedactionOutput and RedactionType. You can optionally include PiiEntityTypes to choose which types of PII you want to redact. If you do not include PiiEntityTypes in your request, all PII is redacted.

Makes it possible to control how your transcription job is processed. Currently, the only JobExecutionSettings modification you can choose is enabling job queueing using the AllowDeferredExecution sub-parameter.

If you include JobExecutionSettings in your request, you must also include the sub-parameters: AllowDeferredExecution and DataAccessRoleArn.

Specify the custom language model you want to include with your transcription job. If you include ModelSettings in your request, you must include the LanguageModelName sub-parameter.

For more information, see Custom language models.

Specify additional optional settings in your request, including channel identification, alternative transcriptions, speaker partitioning. You can use that to apply custom vocabularies and vocabulary filters.

If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use Settings with the VocabularyName or VocabularyFilterName (or both) sub-parameter.

If you're using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, use instead the parameter with the LanguageModelName, VocabularyName or VocabularyFilterName sub-parameters.

A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.

The KMS key you want to use to encrypt your transcription output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.
3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the role making the request must have permission to use the specified KMS key.

Use in combination with OutputBucketName to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your transcription job (TranscriptionJobName).

Here are some examples of how you can use OutputKey:

• If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json.
• If you specify 'my-first-transcription' as the TranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json.
• If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'test-files/my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json.
• If you specify 'my-first-transcription' as the TranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'test-files/my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json.

If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.

The name of the Amazon S3 bucket where you want your transcription output stored. Do not include the S3:// prefix of the specified bucket.

If you want your output to go to a sub-folder of this bucket, specify it using the OutputKey parameter; OutputBucketName only accepts the name of a bucket.

For example, if you want your output stored in S3://DOC-EXAMPLE-BUCKET, set OutputBucketName to DOC-EXAMPLE-BUCKET. However, if you want your output stored in S3://DOC-EXAMPLE-BUCKET/test-files/, set OutputBucketName to DOC-EXAMPLE-BUCKET and OutputKey to test-files/.

Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.

If you do not specify OutputBucketName, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.

Describes the Amazon S3 location of the media file you want to use in your request.

Specify the format of your input media file.

The sample rate, in hertz, of the audio track in your input media file.

If you do not specify the media sample rate, Amazon Transcribe determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe. If there's a mismatch between the value that you specify and the value detected, your job fails. In most cases, you can omit MediaSampleRateHertz and let Amazon Transcribe determine the sample rate.

The language code that represents the language spoken in the input media file.

If you're unsure of the language spoken in your media file, consider using IdentifyLanguage or IdentifyMultipleLanguages to enable automatic language identification.

Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.

For a list of supported languages and their associated language codes, refer to the Supported languages table.

To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary, ca-west-1) and Africa (Cape Town, af-south-1), your media file must be encoded at a sample rate of 16,000 Hz or higher.

A unique name, chosen by you, for your transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the OutputKey parameter.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.

Note that this is the Amazon S3 location you specified in your request using the OutputBucketName parameter.

The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.

The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (en-US) is the only valid language for Amazon Transcribe Medical.

Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.

If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.

If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true.

For more information, see Alternative transcriptions.

To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request.

If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.

For more information, see Alternative transcriptions.

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.

For more information, see Transcribing multi-channel audio.

Specify the maximum number of speakers you want to partition in your media.

Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels.

For more information, see Partitioning speakers (diarization).

The tags, each in the form of a key:value pair, assigned to the specified medical transcription job.

Indicates whether the input media is a dictation or a conversation, as specified in the StartMedicalTranscriptionJob request.

Describes the medical specialty represented in your media.

Indicates whether content identification was enabled for your transcription request.

Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.

If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job request failed.

The FailureReason field contains one of the following values:

• Unsupported media format.

  The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.

• The media format provided does not match the detected media format.

  The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.

• Invalid sample rate for audio file.

  The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 16,000 and 48,000 hertz.

• The sample rate provided does not match the detected sample rate.

  The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

• Invalid file size: file size too large.

  The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.

• Invalid number of channels: number of channels too large.

  Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.

The date and time the specified medical transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time the specified medical transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified medical transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

Provides you with the Amazon S3 URI you can use to access your transcript.

The format of the input media file.

The sample rate, in hertz, of the audio track in your input media file.

The language code used to create your medical transcription job. US English (en-US) is the only supported language for medical transcriptions.

Provides the status of the specified medical transcription job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri. If the status is FAILED, FailureReason provides details on why your transcription job failed.

The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides detailed information about the current medical transcription job, including job status and, if applicable, failure reason.

Adds one or more custom tags, each in the form of a key:value pair, to a new medical transcription job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

Specify whether your input media contains only one person (DICTATION) or contains a conversation between two people (CONVERSATION).

For example, DICTATION could be used for a medical professional wanting to transcribe voice memos; CONVERSATION could be used for transcribing the doctor-patient dialogue during the patient's office visit.

Specify the predominant medical specialty represented in your media. For batch transcriptions, PRIMARYCARE is the only valid value. If you require additional specialties, refer to .

Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.

Specify additional optional settings in your request, including channel identification, alternative transcriptions, and speaker partitioning. You can use that to apply custom vocabularies to your transcription job.

A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.

The KMS key you want to use to encrypt your medical transcription output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.
3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the role making the request must have permission to use the specified KMS key.

Use in combination with OutputBucketName to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your medical transcription job (MedicalTranscriptionJobName).

Here are some examples of how you can use OutputKey:

• If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json.
• If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json.
• If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'test-files/my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json.
• If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'test-files/my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json.

If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.

The name of the Amazon S3 bucket where you want your medical transcription output stored. Do not include the S3:// prefix of the specified bucket.

If you want your output to go to a sub-folder of this bucket, specify it using the OutputKey parameter; OutputBucketName only accepts the name of a bucket.

For example, if you want your output stored in S3://DOC-EXAMPLE-BUCKET, set OutputBucketName to DOC-EXAMPLE-BUCKET. However, if you want your output stored in S3://DOC-EXAMPLE-BUCKET/test-files/, set OutputBucketName to DOC-EXAMPLE-BUCKET and OutputKey to test-files/.

Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.

Specify the format of your input media file.

The sample rate, in hertz, of the audio track in your input media file.

If you do not specify the media sample rate, Amazon Transcribe Medical determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical; if there's a mismatch between the value that you specify and the value detected, your job fails. Therefore, in most cases, it's advised to omit MediaSampleRateHertz and let Amazon Transcribe Medical determine the sample rate.

The language code that represents the language spoken in the input media file. US English (en-US) is the only valid value for medical transcription jobs. Any other value you enter for language code results in a BadRequestException error.

A unique name, chosen by you, for your medical transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the OutputKey parameter.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

Holds the Amazon S3 URI for the Clinical Document.

Holds the Amazon S3 URI for the Transcript.

Specify one of the following templates to use for the clinical note summary. The default is HISTORY_AND_PHYSICAL.

• HISTORY_AND_PHYSICAL: Provides summaries for key sections of the clinical documentation. Examples of sections include Chief Complaint, History of Present Illness, Review of Systems, Past Medical History, Assessment, and Plan.
• GIRPP: Provides summaries based on the patients progress toward goals. Examples of sections include Goal, Intervention, Response, Progress, and Plan.
• BIRP: Focuses on the patient's behavioral patterns and responses. Examples of sections include Behavior, Intervention, Response, and Plan.
• SIRP: Emphasizes the situational context of therapy. Examples of sections include Situation, Intervention, Response, and Plan.
• DAP: Provides a simplified format for clinical documentation. Examples of sections include Data, Assessment, and Plan.
• BEHAVIORAL_SOAP: Behavioral health focused documentation format. Examples of sections include Subjective, Objective, Assessment, and Plan.
• PHYSICAL_SOAP: Physical health focused documentation format. Examples of sections include Subjective, Objective, Assessment, and Plan.

Specify settings for the clinical note generation.

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

For more information, see Transcribing multi-channel audio.

Specify the maximum number of speakers you want to partition in your media.

Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.

If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.

Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.

If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels.

For more information, see Partitioning speakers (diarization).

Specify the participant that you want to flag. The options are CLINICIAN and PATIENT

Specify the audio channel you want to define.

Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it's the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it's the patient speaking).

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName, VocabularyFilterName. VocabularyFilterMethod must be specified if VocabularyFilterName is set.

If MedicalScribeJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.

The date and time the specified Medical Scribe job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified Medical Scribe job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time your Medical Scribe job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The location of the output of your Medical Scribe job. ClinicalDocumentUri holds the Amazon S3 URI for the Clinical Document and TranscriptFileUri holds the Amazon S3 URI for the Transcript.

The language code used to create your Medical Scribe job. US English (en-US) is the only supported language for Medical Scribe jobs.

Provides the status of the specified Medical Scribe job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in MedicalScribeOutput If the status is FAILED, FailureReason provides details on why your Medical Scribe job failed.

The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides detailed information about the current Medical Scribe job, including job status and, if applicable, failure reason.

Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it's the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it's the patient speaking).

Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName, VocabularyFilterName. VocabularyFilterMethod must be specified if VocabularyFilterName is set.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.

The KMS key you want to use to encrypt your Medical Scribe output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.
3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

Note that the role specified in the DataAccessRoleArn request parameter must have permission to use the specified KMS key.

The name of the Amazon S3 bucket where you want your Medical Scribe output stored. Do not include the S3:// prefix of the specified bucket.

Note that the role specified in the DataAccessRoleArn request parameter must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.

A unique name, chosen by you, for your Medical Scribe job.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

Contains additional information or a message explaining why a specific analytics feature was skipped during the analysis of a call analytics job.

Provides a code indicating the reason why a specific analytics feature was skipped during the analysis of a call analytics job.

Indicates the type of analytics feature that was skipped during the analysis of a call analytics job.

Contains information about any skipped analytics features during the analysis of a call analytics job.

This array lists all the analytics features that were skipped, along with their corresponding reason code and message.

Enables Generative call summarization in your Call Analytics request

Generative call summarization provides a summary of the transcript including important components discussed in the conversation.

For more information, see Enabling generative call summarization.

Contains GenerateAbstractiveSummary, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.

If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName).

LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.

It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription.

If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the parameter with the LanguageModelName, VocabularyName, or VocabularyFilterName sub-parameters.

For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.

You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

Including language options can improve the accuracy of language identification.

For a list of languages supported with Call Analytics, refer to the Supported languages table.

To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.

The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.

The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.

Specify how you want your custom vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.

Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.

The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.

Specify the speaker you want to define. Omitting this parameter is equivalent to specifying both participants.

Specify the audio channel you want to define.

The tags, each in the form of a key:value pair, assigned to the specified call analytics job.

Indicates which speaker is on which channel.

Provides information on any additional settings that were included in your request. Additional settings include content redaction and language identification settings.

The confidence score associated with the language identified in your media file.

Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.

The Amazon Resource Name (ARN) you included in your request.

If CallAnalyticsJobStatus is FAILED, FailureReason contains information about why the Call Analytics job request failed.

The FailureReason field contains one of the following values:

• Unsupported media format.

  The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.

• The media format provided does not match the detected media format.

  The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.

• Invalid sample rate for audio file.

  The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 8,000 and 48,000 hertz.

• The sample rate provided does not match the detected sample rate.

  The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

• Invalid file size: file size too large.

  The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.

• Invalid number of channels: number of channels too large.

  Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.

The date and time the specified Call Analytics job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time the specified Call Analytics job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified Call Analytics job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

Provides the Amazon S3 location of the media file you used in your Call Analytics request.

The format of the input media file.

The sample rate, in hertz, of the audio track in your input media file.

The language code used to create your Call Analytics job. For a list of supported languages and their associated language codes, refer to the Supported languages table.

If you do not know the language spoken in your media file, you can omit this field and let Amazon Transcribe automatically identify the language of your media. To improve the accuracy of language identification, you can include several language codes and Amazon Transcribe chooses the closest match for your transcription.

Provides detailed information about a call analytics job, including information about skipped analytics features.

Provides the status of the specified Call Analytics job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.

The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides detailed information about the current Call Analytics job, including job status and, if applicable, failure reason.

Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set ChannelId to 0 (to indicate the first channel) and ParticipantRole to AGENT (to indicate that it's the agent speaking).

Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics job at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

Specify additional optional settings in your request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

The KMS key you want to use to encrypt your Call Analytics output.

If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:

1. Use the KMS key ID itself. For example, 1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use an alias for the KMS key ID. For example, alias/ExampleAlias.
3. Use the Amazon Resource Name (ARN) for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
4. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:

1. Use the ARN for the KMS key ID. For example, arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab.
2. Use the ARN for the KMS key alias. For example, arn:aws:kms:region:account-ID:alias/ExampleAlias.

If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).

If you specify a KMS key to encrypt your output, you must also specify an output location using the OutputLocation parameter.

Note that the role making the request must have permission to use the specified KMS key.

The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:

1. s3://DOC-EXAMPLE-BUCKET
2. s3://DOC-EXAMPLE-BUCKET/my-output-folder/
3. s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json

Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the CallAnalyticsJobName parameter.

You can specify a KMS key to encrypt your output using the OutputEncryptionKMSKeyId parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption.

If you do not specify OutputLocation, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.

Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.

A unique name, chosen by you, for your Call Analytics job.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.

Provides information about the custom vocabulary filters that match the criteria specified in your request.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Returns only the custom vocabulary filters that contain the specified string. The search is not case sensitive.

The maximum number of custom vocabulary filters to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListVocabularyFilters request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Provides information about the custom vocabularies that match the criteria specified in your request.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Lists all custom vocabularies that have the status specified in your request. Vocabularies are ordered by creation date, with the newest vocabulary first.

Returns only the custom vocabularies that contain the specified string. The search is not case sensitive.

Returns only custom vocabularies with the specified state. Vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include StateEquals, all custom medical vocabularies are returned.

The maximum number of custom vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListVocabularies request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Provides a summary of information about each result.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Lists all transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.

The maximum number of transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListTranscriptionJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Returns only the transcription jobs that contain the specified string. The search is not case sensitive.

Returns only transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all transcription jobs are returned.

Lists all tags associated with the given transcription job, vocabulary, model, or resource.

The Amazon Resource Name (ARN) specified in your request.

Returns a list of all tags associated with the specified Amazon Resource Name (ARN). ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id.

For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name.

Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.

Provides information about the custom medical vocabularies that match the criteria specified in your request.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Lists all custom medical vocabularies that have the status specified in your request. Custom vocabularies are ordered by creation date, with the newest vocabulary first.

Returns only the custom medical vocabularies that contain the specified string. The search is not case sensitive.

Returns only custom medical vocabularies with the specified state. Custom vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include StateEquals, all custom medical vocabularies are returned.

The maximum number of custom medical vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListMedicalVocabularies request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Indicates whether the input media is a dictation or a conversation, as specified in the StartMedicalTranscriptionJob request.

Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.

Provides the medical specialty represented in your media.

Indicates where the specified medical transcription output is stored.

If the value is CUSTOMER_BUCKET, the location is the Amazon S3 bucket you specified using the OutputBucketName parameter in your request. If you also included OutputKey in your request, your output is located in the path you specified in your request.

If the value is SERVICE_BUCKET, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in the TranscriptFileUri field.

If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.

Provides the status of your medical transcription job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri. If the status is FAILED, FailureReason provides details on why your transcription job failed.

The language code used to create your medical transcription. US English (en-US) is the only supported language for medical transcriptions.

The date and time the specified medical transcription job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time your medical transcription job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified medical transcription job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides a summary of information about each result.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Lists all medical transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.

The maximum number of medical transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListMedicalTranscriptionJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Returns only the medical transcription jobs that contain the specified string. The search is not case sensitive.

Returns only medical transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all medical transcription jobs are returned.

If MedicalScribeJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.

Provides the status of the specified Medical Scribe job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in MedicalScribeOutput If the status is FAILED, FailureReason provides details on why your Medical Scribe job failed.

The language code used to create your Medical Scribe job. US English (en-US) is the only supported language for Medical Scribe jobs.

The date and time the specified Medical Scribe job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time your Medical Scribe job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified Medical Scribe job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides a summary of information about each result.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

Lists all Medical Scribe jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.

The maximum number of Medical Scribe jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListMedicalScribeJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Returns only the Medical Scribe jobs that contain the specified string. The search is not case sensitive.

Returns only Medical Scribe jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all Medical Scribe jobs are returned.

The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.

IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin.

For more information, see IAM ARNs.

The Amazon S3 location (URI) of the text files you want to use to tune your custom language model.

Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/

The Amazon S3 location (URI) of the text files you want to use to train your custom language model.

Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-training-data/

The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.

If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors.

Shows if a more current base model is available for use with the specified custom language model.

If false, your custom language model is using the most up-to-date base model.

If true, there is a newer base model available than the one your language model is using.

Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.

The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use.

The Amazon Transcribe standard language model, or base model, used to create your custom language model.

The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.

For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

The date and time the specified custom language model was last modified.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified custom language model was created.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

A unique name, chosen by you, for your custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

Provides information about the custom language models that match the criteria specified in your request.

If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.

The maximum number of custom language models to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.

If your ListLanguageModels request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.

Returns only the custom language models that contain the specified string. The search is not case sensitive.

Returns only custom language models with the specified status. Language models are ordered by creation date, with the newest model first. If you do not include StatusEquals, all custom language models are returned.

If CallAnalyticsJobStatus is FAILED, FailureReason contains information about why the Call Analytics job failed. See also: Common Errors.

Provides detailed information about a call analytics job, including information about skipped analytics features.

Provides the status of your Call Analytics job.

If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.

The language code used to create your Call Analytics transcription.

The date and time the specified Call Analytics job finished processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.

The date and time your Call Analytics job began processing.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified Call Analytics job request was made.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.

The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.

Provides a summary of information about each result.