Creates a new Call Analytics category.

All categories are automatically applied to your Call Analytics transcriptions. Note that in order to apply categories to your transcriptions, you must create them before submitting your transcription request, as categories cannot be applied retroactively.

When creating a new category, you can use the InputType parameter to label the category as a POST_CALL or a REAL_TIME category. POST_CALL categories can only be applied to post-call transcriptions and REAL_TIME categories can only be applied to real-time transcriptions. If you do not include InputType, your category is created as a POST_CALL category by default.

Call Analytics categories are composed of rules. For each category, you must create between 1 and 20 rules. Rules can include these parameters: , , , and .

To update an existing category, see .

Creates a new custom language model.

When creating a new custom language model, you must specify:

• If you want a Wideband (audio sample rates over 16,000 Hz) or Narrowband (audio sample rates under 16,000 Hz) base model

• The location of your training and tuning files (this must be an Amazon S3 URI)

• The language of your model

• A unique name for your model

Creates a new custom medical vocabulary.

Before creating a new custom medical vocabulary, you must first upload a text file that contains your vocabulary table into an Amazon S3 bucket. Note that this differs from , where you can include a list of terms within your request using the Phrases flag; CreateMedicalVocabulary does not support the Phrases flag and only accepts vocabularies in table format.

Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies: https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html to get the character set for your language.

Creates a new custom vocabulary.

When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request. Or you can include a list of terms directly in your request using the Phrases flag.

Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies: https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html to get the character set for your language.

Creates a new custom vocabulary filter.

You can use custom vocabulary filters to mask, delete, or flag specific words from your transcript. Custom vocabulary filters are commonly used to mask profanity in transcripts.

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: https://docs.aws.amazon.com/transcribe/latest/dg/charsets.html to get the character set for your language.

Deletes a Call Analytics category.

Deletes a Call Analytics job.

Deletes a custom language model.

Deletes a Medical Scribe job.

Deletes a medical transcription job.

Deletes a custom medical vocabulary.

Deletes a transcription job.

Deletes a custom vocabulary.

Deletes a custom vocabulary filter.

Provides information about the specified custom language model.

This operation also shows if the base language model that you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model.

Provides information about the specified Call Analytics category.

Provides information about the specified Call Analytics job.

To view the job's status, refer to CallAnalyticsJobStatus. If the status is COMPLETED, the job is finished. You can find your completed transcript at the URI specified in TranscriptFileUri. If the status is FAILED, FailureReason provides details on why your transcription job failed.

If you enabled personally identifiable information (PII) redaction, the redacted transcript appears at the location specified in RedactedTranscriptFileUri.

If you chose to redact the audio in your media file, you can find your redacted media file at the location specified in RedactedMediaFileUri.

Provides information about the specified Medical Scribe job.

To view the status of the specified medical transcription job, check the MedicalScribeJobStatus field. If the status is COMPLETED, the job is finished. 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.

Provides information about the specified medical transcription job.

To view the status of the specified medical transcription job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished. 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.

Provides information about the specified custom medical vocabulary.

To view the status of the specified custom medical vocabulary, check the VocabularyState field. If the status is READY, your custom vocabulary is available to use. If the status is FAILED, FailureReason provides details on why your vocabulary failed.

Provides information about the specified transcription job.

To view the status of the specified transcription job, check the TranscriptionJobStatus field. If the status is COMPLETED, the job is finished. 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.

If you enabled content redaction, the redacted transcript can be found at the location specified in RedactedTranscriptFileUri.

Provides information about the specified custom vocabulary.

To view the status of the specified custom vocabulary, check the VocabularyState field. If the status is READY, your custom vocabulary is available to use. If the status is FAILED, FailureReason provides details on why your custom vocabulary failed.

Provides information about the specified custom vocabulary filter.

Provides a list of Call Analytics categories, including all rules that make up each category.

Provides a list of Call Analytics jobs that match the specified criteria.

If no criteria are specified, all Call Analytics jobs are returned.

Provides a list of custom language models that match the specified criteria.

If no criteria are specified, all custom language models are returned.

Provides a list of Medical Scribe jobs that match the specified criteria.

If no criteria are specified, all Medical Scribe jobs are returned.

Provides a list of medical transcription jobs that match the specified criteria.

If no criteria are specified, all medical transcription jobs are returned.

Provides a list of custom medical vocabularies that match the specified criteria.

If no criteria are specified, all custom medical vocabularies are returned.

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

Provides a list of transcription jobs that match the specified criteria.

If no criteria are specified, all transcription jobs are returned.

Provides a list of custom vocabularies that match the specified criteria.

If no criteria are specified, all custom vocabularies are returned.

Provides a list of custom vocabulary filters that match the specified criteria.

If no criteria are specified, all custom vocabularies are returned.

Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to include in your request.

In addition to many standard transcription features, Call Analytics provides you with call characteristics, call summarization, speaker sentiment, and optional redaction of your text transcript and your audio file. You can also apply custom categories to flag specified conditions. To learn more about these features and insights, refer to Analyzing call center audio with Call Analytics: https://docs.aws.amazon.com/transcribe/latest/dg/call-analytics.html.

If you want to apply categories to your Call Analytics job, you must create them before submitting your job request. Categories cannot be retroactively applied to a job. To create a new category, use the operation. To learn more about Call Analytics categories, see Creating categories for post-call transcriptions: https://docs.aws.amazon.com/transcribe/latest/dg/tca-categories-batch.html and Creating categories for real-time transcriptions: https://docs.aws.amazon.com/transcribe/latest/dg/tca-categories-stream.html.

To make a StartCallAnalyticsJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.

Note that job queuing is enabled by default for Call Analytics jobs.

You must include the following parameters in your StartCallAnalyticsJob request:

• region: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas: https://docs.aws.amazon.com/general/latest/gr/transcribe.html.

• CallAnalyticsJobName: A custom name that you create for your transcription job that's unique within your Amazon Web Services account.

• DataAccessRoleArn: The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files.

• Media (MediaFileUri or RedactedMediaFileUri): The Amazon S3 location of your media file.

Transcribes patient-clinician conversations and generates clinical notes.

Amazon Web Services HealthScribe automatically provides rich conversation transcripts, identifies speaker roles, classifies dialogues, extracts medical terms, and generates preliminary clinical notes. To learn more about these features, refer to Amazon Web Services HealthScribe: https://docs.aws.amazon.com/transcribe/latest/dg/health-scribe.html.

To make a StartMedicalScribeJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.

You must include the following parameters in your StartMedicalTranscriptionJob request:

• DataAccessRoleArn: The ARN of an IAM role with the these minimum permissions: read permission on input file Amazon S3 bucket specified in Media, write permission on the Amazon S3 bucket specified in OutputBucketName, and full permissions on the KMS key specified in OutputEncryptionKMSKeyId (if set). The role should also allow transcribe.amazonaws.com to assume it.

• Media (MediaFileUri): The Amazon S3 location of your media file.

• MedicalScribeJobName: A custom name you create for your MedicalScribe job that is unique within your Amazon Web Services account.

• OutputBucketName: The Amazon S3 bucket where you want your output files stored.

• Settings: A MedicalScribeSettings obect that must set exactly one of ShowSpeakerLabels or ChannelIdentification to true. If ShowSpeakerLabels is true, MaxSpeakerLabels must also be set.

• ChannelDefinitions: A MedicalScribeChannelDefinitions array should be set if and only if the ChannelIdentification value of Settings is set to true.

Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.

In addition to many standard transcription features, Amazon Transcribe Medical provides you with a robust medical vocabulary and, optionally, content identification, which adds flags to personal health information (PHI). To learn more about these features, refer to How Amazon Transcribe Medical works: https://docs.aws.amazon.com/transcribe/latest/dg/how-it-works-med.html.

To make a StartMedicalTranscriptionJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.

You must include the following parameters in your StartMedicalTranscriptionJob request:

• region: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas: https://docs.aws.amazon.com/general/latest/gr/transcribe.html.

• MedicalTranscriptionJobName: A custom name you create for your transcription job that is unique within your Amazon Web Services account.

• Media (MediaFileUri): The Amazon S3 location of your media file.

• LanguageCode: This must be en-US.

• OutputBucketName: The Amazon S3 bucket where you want your transcript stored. If you want your output stored in a sub-folder of this bucket, you must also include OutputKey.

• Specialty: This must be PRIMARYCARE.

• Type: Choose whether your audio is a conversation or a dictation.

Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request.

To make a StartTranscriptionJob request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media parameter.

You must include the following parameters in your StartTranscriptionJob request:

• region: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas: https://docs.aws.amazon.com/general/latest/gr/transcribe.html.

• TranscriptionJobName: A custom name you create for your transcription job that is unique within your Amazon Web Services account.

• Media (MediaFileUri): The Amazon S3 location of your media file.

• One of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages: If you know the language of your media file, specify it using the LanguageCode parameter; you can find all valid language codes in the Supported languages: https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html table. If you do not know the languages spoken in your media, use either IdentifyLanguage or IdentifyMultipleLanguages and let Amazon Transcribe identify the languages for you.

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

Removes the specified tags from the specified Amazon Transcribe resource.

Updates the specified Call Analytics category with new rules.

Note that the UpdateCallAnalyticsCategory operation overwrites all existing rules contained in the specified category. You cannot append additional rules onto an existing category.

Updates an existing custom medical vocabulary with new values.

Updates an existing custom vocabulary with new values.

Updates an existing custom vocabulary filter with a new list of words.