@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonTranscribe extends Object implements AmazonTranscribe
AmazonTranscribe. Convenient method forms pass through to the corresponding
 overload that takes a request object, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier and Type | Method and Description | 
|---|---|
| CreateCallAnalyticsCategoryResult | createCallAnalyticsCategory(CreateCallAnalyticsCategoryRequest request)
 Creates a new Call Analytics category. | 
| CreateLanguageModelResult | createLanguageModel(CreateLanguageModelRequest request)
 Creates a new custom language model. | 
| CreateMedicalVocabularyResult | createMedicalVocabulary(CreateMedicalVocabularyRequest request)
 Creates a new custom medical vocabulary. | 
| CreateVocabularyResult | createVocabulary(CreateVocabularyRequest request)
 Creates a new custom vocabulary. | 
| CreateVocabularyFilterResult | createVocabularyFilter(CreateVocabularyFilterRequest request)
 Creates a new custom vocabulary filter. | 
| DeleteCallAnalyticsCategoryResult | deleteCallAnalyticsCategory(DeleteCallAnalyticsCategoryRequest request)
 Deletes a Call Analytics category. | 
| DeleteCallAnalyticsJobResult | deleteCallAnalyticsJob(DeleteCallAnalyticsJobRequest request)
 Deletes a Call Analytics job. | 
| DeleteLanguageModelResult | deleteLanguageModel(DeleteLanguageModelRequest request)
 Deletes a custom language model. | 
| DeleteMedicalScribeJobResult | deleteMedicalScribeJob(DeleteMedicalScribeJobRequest request)
 Deletes a Medical Scribe job. | 
| DeleteMedicalTranscriptionJobResult | deleteMedicalTranscriptionJob(DeleteMedicalTranscriptionJobRequest request)
 Deletes a medical transcription job. | 
| DeleteMedicalVocabularyResult | deleteMedicalVocabulary(DeleteMedicalVocabularyRequest request)
 Deletes a custom medical vocabulary. | 
| DeleteTranscriptionJobResult | deleteTranscriptionJob(DeleteTranscriptionJobRequest request)
 Deletes a transcription job. | 
| DeleteVocabularyResult | deleteVocabulary(DeleteVocabularyRequest request)
 Deletes a custom vocabulary. | 
| DeleteVocabularyFilterResult | deleteVocabularyFilter(DeleteVocabularyFilterRequest request)
 Deletes a custom vocabulary filter. | 
| DescribeLanguageModelResult | describeLanguageModel(DescribeLanguageModelRequest request)
 Provides information about the specified custom language model. | 
| ResponseMetadata | getCachedResponseMetadata(AmazonWebServiceRequest request)Returns additional metadata for a previously executed successful request, typically used for debugging issues
 where a service isn't acting as expected. | 
| GetCallAnalyticsCategoryResult | getCallAnalyticsCategory(GetCallAnalyticsCategoryRequest request)
 Provides information about the specified Call Analytics category. | 
| GetCallAnalyticsJobResult | getCallAnalyticsJob(GetCallAnalyticsJobRequest request)
 Provides information about the specified Call Analytics job. | 
| GetMedicalScribeJobResult | getMedicalScribeJob(GetMedicalScribeJobRequest request)
 Provides information about the specified Medical Scribe job. | 
| GetMedicalTranscriptionJobResult | getMedicalTranscriptionJob(GetMedicalTranscriptionJobRequest request)
 Provides information about the specified medical transcription job. | 
| GetMedicalVocabularyResult | getMedicalVocabulary(GetMedicalVocabularyRequest request)
 Provides information about the specified custom medical vocabulary. | 
| GetTranscriptionJobResult | getTranscriptionJob(GetTranscriptionJobRequest request)
 Provides information about the specified transcription job. | 
| GetVocabularyResult | getVocabulary(GetVocabularyRequest request)
 Provides information about the specified custom vocabulary. | 
| GetVocabularyFilterResult | getVocabularyFilter(GetVocabularyFilterRequest request)
 Provides information about the specified custom vocabulary filter. | 
| ListCallAnalyticsCategoriesResult | listCallAnalyticsCategories(ListCallAnalyticsCategoriesRequest request)
 Provides a list of Call Analytics categories, including all rules that make up each category. | 
| ListCallAnalyticsJobsResult | listCallAnalyticsJobs(ListCallAnalyticsJobsRequest request)
 Provides a list of Call Analytics jobs that match the specified criteria. | 
| ListLanguageModelsResult | listLanguageModels(ListLanguageModelsRequest request)
 Provides a list of custom language models that match the specified criteria. | 
| ListMedicalScribeJobsResult | listMedicalScribeJobs(ListMedicalScribeJobsRequest request)
 Provides a list of Medical Scribe jobs that match the specified criteria. | 
| ListMedicalTranscriptionJobsResult | listMedicalTranscriptionJobs(ListMedicalTranscriptionJobsRequest request)
 Provides a list of medical transcription jobs that match the specified criteria. | 
| ListMedicalVocabulariesResult | listMedicalVocabularies(ListMedicalVocabulariesRequest request)
 Provides a list of custom medical vocabularies that match the specified criteria. | 
| ListTagsForResourceResult | listTagsForResource(ListTagsForResourceRequest request)
 Lists all tags associated with the specified transcription job, vocabulary, model, or resource. | 
| ListTranscriptionJobsResult | listTranscriptionJobs(ListTranscriptionJobsRequest request)
 Provides a list of transcription jobs that match the specified criteria. | 
| ListVocabulariesResult | listVocabularies(ListVocabulariesRequest request)
 Provides a list of custom vocabularies that match the specified criteria. | 
| ListVocabularyFiltersResult | listVocabularyFilters(ListVocabularyFiltersRequest request)
 Provides a list of custom vocabulary filters that match the specified criteria. | 
| void | shutdown()Shuts down this client object, releasing any resources that might be held open. | 
| StartCallAnalyticsJobResult | startCallAnalyticsJob(StartCallAnalyticsJobRequest request)
 Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to
 include in your request. | 
| StartMedicalScribeJobResult | startMedicalScribeJob(StartMedicalScribeJobRequest request)
 Transcribes patient-clinician conversations and generates clinical notes. | 
| StartMedicalTranscriptionJobResult | startMedicalTranscriptionJob(StartMedicalTranscriptionJobRequest request)
 Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you
 choose to include in your request. | 
| StartTranscriptionJobResult | startTranscriptionJob(StartTranscriptionJobRequest request)
 Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in
 your request. | 
| TagResourceResult | tagResource(TagResourceRequest request)
 Adds one or more custom tags, each in the form of a key:value pair, to the specified resource. | 
| UntagResourceResult | untagResource(UntagResourceRequest request)
 Removes the specified tags from the specified Amazon Transcribe resource. | 
| UpdateCallAnalyticsCategoryResult | updateCallAnalyticsCategory(UpdateCallAnalyticsCategoryRequest request)
 Updates the specified Call Analytics category with new rules. | 
| UpdateMedicalVocabularyResult | updateMedicalVocabulary(UpdateMedicalVocabularyRequest request)
 Updates an existing custom medical vocabulary with new values. | 
| UpdateVocabularyResult | updateVocabulary(UpdateVocabularyRequest request)
 Updates an existing custom vocabulary with new values. | 
| UpdateVocabularyFilterResult | updateVocabularyFilter(UpdateVocabularyFilterRequest request)
 Updates an existing custom vocabulary filter with a new list of words. | 
public CreateCallAnalyticsCategoryResult createCallAnalyticsCategory(CreateCallAnalyticsCategoryRequest request)
AmazonTranscribeCreates 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 .
To learn more about Call Analytics categories, see Creating categories for post-call transcriptions and Creating categories for real-time transcriptions.
createCallAnalyticsCategory in interface AmazonTranscribepublic CreateLanguageModelResult createLanguageModel(CreateLanguageModelRequest request)
AmazonTranscribeCreates 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
createLanguageModel in interface AmazonTranscribepublic CreateMedicalVocabularyResult createMedicalVocabulary(CreateMedicalVocabularyRequest request)
AmazonTranscribeCreates 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 to get the character set for your language.
For more information, see Custom vocabularies.
createMedicalVocabulary in interface AmazonTranscribepublic CreateVocabularyResult createVocabulary(CreateVocabularyRequest request)
AmazonTranscribeCreates 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 to get the character set for your language.
For more information, see Custom vocabularies.
createVocabulary in interface AmazonTranscribepublic CreateVocabularyFilterResult createVocabularyFilter(CreateVocabularyFilterRequest request)
AmazonTranscribeCreates 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 to get the character set for your language.
For more information, see Vocabulary filtering.
createVocabularyFilter in interface AmazonTranscribepublic DeleteCallAnalyticsCategoryResult deleteCallAnalyticsCategory(DeleteCallAnalyticsCategoryRequest request)
AmazonTranscribe
 Deletes a Call Analytics category. To use this operation, specify the name of the category you want to delete
 using CategoryName. Category names are case sensitive.
 
deleteCallAnalyticsCategory in interface AmazonTranscribepublic DeleteCallAnalyticsJobResult deleteCallAnalyticsJob(DeleteCallAnalyticsJobRequest request)
AmazonTranscribe
 Deletes a Call Analytics job. To use this operation, specify the name of the job you want to delete using
 CallAnalyticsJobName. Job names are case sensitive.
 
deleteCallAnalyticsJob in interface AmazonTranscribepublic DeleteLanguageModelResult deleteLanguageModel(DeleteLanguageModelRequest request)
AmazonTranscribe
 Deletes a custom language model. To use this operation, specify the name of the language model you want to delete
 using ModelName. custom language model names are case sensitive.
 
deleteLanguageModel in interface AmazonTranscribepublic DeleteMedicalScribeJobResult deleteMedicalScribeJob(DeleteMedicalScribeJobRequest request)
AmazonTranscribe
 Deletes a Medical Scribe job. To use this operation, specify the name of the job you want to delete using
 MedicalScribeJobName. Job names are case sensitive.
 
deleteMedicalScribeJob in interface AmazonTranscribepublic DeleteMedicalTranscriptionJobResult deleteMedicalTranscriptionJob(DeleteMedicalTranscriptionJobRequest request)
AmazonTranscribe
 Deletes a medical transcription job. To use this operation, specify the name of the job you want to delete using
 MedicalTranscriptionJobName. Job names are case sensitive.
 
deleteMedicalTranscriptionJob in interface AmazonTranscribepublic DeleteMedicalVocabularyResult deleteMedicalVocabulary(DeleteMedicalVocabularyRequest request)
AmazonTranscribe
 Deletes a custom medical vocabulary. To use this operation, specify the name of the custom vocabulary you want to
 delete using VocabularyName. Custom vocabulary names are case sensitive.
 
deleteMedicalVocabulary in interface AmazonTranscribepublic DeleteTranscriptionJobResult deleteTranscriptionJob(DeleteTranscriptionJobRequest request)
AmazonTranscribe
 Deletes a transcription job. To use this operation, specify the name of the job you want to delete using
 TranscriptionJobName. Job names are case sensitive.
 
deleteTranscriptionJob in interface AmazonTranscribepublic DeleteVocabularyResult deleteVocabulary(DeleteVocabularyRequest request)
AmazonTranscribe
 Deletes a custom vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete
 using VocabularyName. Custom vocabulary names are case sensitive.
 
deleteVocabulary in interface AmazonTranscribepublic DeleteVocabularyFilterResult deleteVocabularyFilter(DeleteVocabularyFilterRequest request)
AmazonTranscribe
 Deletes a custom vocabulary filter. To use this operation, specify the name of the custom vocabulary filter you
 want to delete using VocabularyFilterName. Custom vocabulary filter names are case sensitive.
 
deleteVocabularyFilter in interface AmazonTranscribepublic DescribeLanguageModelResult describeLanguageModel(DescribeLanguageModelRequest request)
AmazonTranscribeProvides 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.
 If you tried to create a new custom language model and the request wasn't successful, you can use
 DescribeLanguageModel to help identify the reason for this failure.
 
describeLanguageModel in interface AmazonTranscribepublic GetCallAnalyticsCategoryResult getCallAnalyticsCategory(GetCallAnalyticsCategoryRequest request)
AmazonTranscribeProvides information about the specified Call Analytics category.
To get a list of your Call Analytics categories, use the operation.
getCallAnalyticsCategory in interface AmazonTranscribepublic GetCallAnalyticsJobResult getCallAnalyticsJob(GetCallAnalyticsJobRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your Call Analytics jobs, use the operation.
getCallAnalyticsJob in interface AmazonTranscribepublic GetMedicalScribeJobResult getMedicalScribeJob(GetMedicalScribeJobRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your Medical Scribe jobs, use the operation.
getMedicalScribeJob in interface AmazonTranscribepublic GetMedicalTranscriptionJobResult getMedicalTranscriptionJob(GetMedicalTranscriptionJobRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your medical transcription jobs, use the operation.
getMedicalTranscriptionJob in interface AmazonTranscribepublic GetMedicalVocabularyResult getMedicalVocabulary(GetMedicalVocabularyRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your custom medical vocabularies, use the operation.
getMedicalVocabulary in interface AmazonTranscribepublic GetTranscriptionJobResult getTranscriptionJob(GetTranscriptionJobRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your transcription jobs, use the operation.
getTranscriptionJob in interface AmazonTranscribepublic GetVocabularyResult getVocabulary(GetVocabularyRequest request)
AmazonTranscribeProvides 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.
 
To get a list of your custom vocabularies, use the operation.
getVocabulary in interface AmazonTranscribepublic GetVocabularyFilterResult getVocabularyFilter(GetVocabularyFilterRequest request)
AmazonTranscribeProvides information about the specified custom vocabulary filter.
To get a list of your custom vocabulary filters, use the operation.
getVocabularyFilter in interface AmazonTranscribepublic ListCallAnalyticsCategoriesResult listCallAnalyticsCategories(ListCallAnalyticsCategoriesRequest request)
AmazonTranscribeProvides a list of Call Analytics categories, including all rules that make up each category.
To get detailed information about a specific Call Analytics category, use the operation.
listCallAnalyticsCategories in interface AmazonTranscribepublic ListCallAnalyticsJobsResult listCallAnalyticsJobs(ListCallAnalyticsJobsRequest request)
AmazonTranscribeProvides a list of Call Analytics jobs that match the specified criteria. If no criteria are specified, all Call Analytics jobs are returned.
To get detailed information about a specific Call Analytics job, use the operation.
listCallAnalyticsJobs in interface AmazonTranscribepublic ListLanguageModelsResult listLanguageModels(ListLanguageModelsRequest request)
AmazonTranscribeProvides a list of custom language models that match the specified criteria. If no criteria are specified, all custom language models are returned.
To get detailed information about a specific custom language model, use the operation.
listLanguageModels in interface AmazonTranscribepublic ListMedicalScribeJobsResult listMedicalScribeJobs(ListMedicalScribeJobsRequest request)
AmazonTranscribeProvides a list of Medical Scribe jobs that match the specified criteria. If no criteria are specified, all Medical Scribe jobs are returned.
To get detailed information about a specific Medical Scribe job, use the operation.
listMedicalScribeJobs in interface AmazonTranscribepublic ListMedicalTranscriptionJobsResult listMedicalTranscriptionJobs(ListMedicalTranscriptionJobsRequest request)
AmazonTranscribeProvides a list of medical transcription jobs that match the specified criteria. If no criteria are specified, all medical transcription jobs are returned.
To get detailed information about a specific medical transcription job, use the operation.
listMedicalTranscriptionJobs in interface AmazonTranscribepublic ListMedicalVocabulariesResult listMedicalVocabularies(ListMedicalVocabulariesRequest request)
AmazonTranscribeProvides a list of custom medical vocabularies that match the specified criteria. If no criteria are specified, all custom medical vocabularies are returned.
To get detailed information about a specific custom medical vocabulary, use the operation.
listMedicalVocabularies in interface AmazonTranscribepublic ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request)
AmazonTranscribeLists all tags associated with the specified transcription job, vocabulary, model, or resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
listTagsForResource in interface AmazonTranscribepublic ListTranscriptionJobsResult listTranscriptionJobs(ListTranscriptionJobsRequest request)
AmazonTranscribeProvides a list of transcription jobs that match the specified criteria. If no criteria are specified, all transcription jobs are returned.
To get detailed information about a specific transcription job, use the operation.
listTranscriptionJobs in interface AmazonTranscribepublic ListVocabulariesResult listVocabularies(ListVocabulariesRequest request)
AmazonTranscribeProvides a list of custom vocabularies that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
To get detailed information about a specific custom vocabulary, use the operation.
listVocabularies in interface AmazonTranscribepublic ListVocabularyFiltersResult listVocabularyFilters(ListVocabularyFiltersRequest request)
AmazonTranscribeProvides a list of custom vocabulary filters that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
To get detailed information about a specific custom vocabulary filter, use the operation.
listVocabularyFilters in interface AmazonTranscribepublic StartCallAnalyticsJobResult startCallAnalyticsJob(StartCallAnalyticsJobRequest request)
AmazonTranscribeTranscribes 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.
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 and Creating categories for real-time transcriptions.
 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.
 
 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.
 
 With Call Analytics, you can redact the audio contained in your media file by including
 RedactedMediaFileUri, instead of MediaFileUri, to specify the location of your input
 audio. If you choose to redact your audio, you can find your redacted media at the location specified in the
 RedactedMediaFileUri field of your response.
 
startCallAnalyticsJob in interface AmazonTranscribepublic StartMedicalScribeJobResult startMedicalScribeJob(StartMedicalScribeJobRequest request)
AmazonTranscribeTranscribes 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.
 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.
 
startMedicalScribeJob in interface AmazonTranscribepublic StartMedicalTranscriptionJobResult startMedicalTranscriptionJob(StartMedicalTranscriptionJobRequest request)
AmazonTranscribeTranscribes 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.
 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.
 
 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.
 
startMedicalTranscriptionJob in interface AmazonTranscribepublic StartTranscriptionJobResult startTranscriptionJob(StartTranscriptionJobRequest request)
AmazonTranscribeTranscribes 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.
 
 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 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.
 
startTranscriptionJob in interface AmazonTranscribepublic TagResourceResult tagResource(TagResourceRequest request)
AmazonTranscribeAdds 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.
tagResource in interface AmazonTranscribepublic UntagResourceResult untagResource(UntagResourceRequest request)
AmazonTranscribeRemoves the specified tags from the specified Amazon Transcribe resource.
 If you include UntagResource in your request, you must also include ResourceArn and
 TagKeys.
 
untagResource in interface AmazonTranscribepublic UpdateCallAnalyticsCategoryResult updateCallAnalyticsCategory(UpdateCallAnalyticsCategoryRequest request)
AmazonTranscribe
 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.
 
To create a new category, see .
updateCallAnalyticsCategory in interface AmazonTranscribepublic UpdateMedicalVocabularyResult updateMedicalVocabulary(UpdateMedicalVocabularyRequest request)
AmazonTranscribeUpdates an existing custom medical vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
updateMedicalVocabulary in interface AmazonTranscribepublic UpdateVocabularyResult updateVocabulary(UpdateVocabularyRequest request)
AmazonTranscribeUpdates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
updateVocabulary in interface AmazonTranscribepublic UpdateVocabularyFilterResult updateVocabularyFilter(UpdateVocabularyFilterRequest request)
AmazonTranscribeUpdates an existing custom vocabulary filter with a new list of words. The new list you provide overwrites all previous entries; you cannot append new terms onto an existing custom vocabulary filter.
updateVocabularyFilter in interface AmazonTranscribepublic void shutdown()
AmazonTranscribeshutdown in interface AmazonTranscribepublic ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AmazonTranscribeResponse metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata in interface AmazonTranscriberequest - The originally executed request.