@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 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 vocabulary filter that you can use to filter words from your transcription output.
|
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.
|
DeleteMedicalTranscriptionJobResult |
deleteMedicalTranscriptionJob(DeleteMedicalTranscriptionJobRequest request)
Deletes a medical transcription job, along with any related information.
|
DeleteMedicalVocabularyResult |
deleteMedicalVocabulary(DeleteMedicalVocabularyRequest request)
Deletes a custom medical vocabulary.
|
DeleteTranscriptionJobResult |
deleteTranscriptionJob(DeleteTranscriptionJobRequest request)
Deletes a transcription job, along with any related information.
|
DeleteVocabularyResult |
deleteVocabulary(DeleteVocabularyRequest request)
Deletes a custom vocabulary.
|
DeleteVocabularyFilterResult |
deleteVocabularyFilter(DeleteVocabularyFilterRequest request)
Deletes a vocabulary filter.
|
DescribeLanguageModelResult |
describeLanguageModel(DescribeLanguageModelRequest request)
Provides information about a specific custom language model in your Amazon Web Services account.
|
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)
Retrieves information about a call analytics category.
|
GetCallAnalyticsJobResult |
getCallAnalyticsJob(GetCallAnalyticsJobRequest request)
Retrieves information about a call analytics job.
|
GetMedicalTranscriptionJobResult |
getMedicalTranscriptionJob(GetMedicalTranscriptionJobRequest request)
Retrieves information about a medical transcription job.
|
GetMedicalVocabularyResult |
getMedicalVocabulary(GetMedicalVocabularyRequest request)
Retrieves information about a medical vocabulary.
|
GetTranscriptionJobResult |
getTranscriptionJob(GetTranscriptionJobRequest request)
Returns information about a transcription job.
|
GetVocabularyResult |
getVocabulary(GetVocabularyRequest request)
Gets information about a vocabulary.
|
GetVocabularyFilterResult |
getVocabularyFilter(GetVocabularyFilterRequest request)
Returns information about a vocabulary filter.
|
ListCallAnalyticsCategoriesResult |
listCallAnalyticsCategories(ListCallAnalyticsCategoriesRequest request)
Provides more information about the call analytics categories that you've created.
|
ListCallAnalyticsJobsResult |
listCallAnalyticsJobs(ListCallAnalyticsJobsRequest request)
List call analytics jobs with a specified status or substring that matches their names.
|
ListLanguageModelsResult |
listLanguageModels(ListLanguageModelsRequest request)
Provides more information about the custom language models you've created.
|
ListMedicalTranscriptionJobsResult |
listMedicalTranscriptionJobs(ListMedicalTranscriptionJobsRequest request)
Lists medical transcription jobs with a specified status or substring that matches their names.
|
ListMedicalVocabulariesResult |
listMedicalVocabularies(ListMedicalVocabulariesRequest request)
Returns a list of vocabularies that match the specified criteria.
|
ListTagsForResourceResult |
listTagsForResource(ListTagsForResourceRequest request)
Lists all tags associated with a given transcription job, vocabulary, or resource.
|
ListTranscriptionJobsResult |
listTranscriptionJobs(ListTranscriptionJobsRequest request)
Lists transcription jobs with the specified status.
|
ListVocabulariesResult |
listVocabularies(ListVocabulariesRequest request)
Returns a list of vocabularies that match the specified criteria.
|
ListVocabularyFiltersResult |
listVocabularyFilters(ListVocabularyFiltersRequest request)
Gets information about vocabulary filters.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StartCallAnalyticsJobResult |
startCallAnalyticsJob(StartCallAnalyticsJobRequest request)
Starts an asynchronous analytics job that not only transcribes the audio recording of a caller and agent, but
also returns additional insights.
|
StartMedicalTranscriptionJobResult |
startMedicalTranscriptionJob(StartMedicalTranscriptionJobRequest request)
Starts a batch job to transcribe medical speech to text.
|
StartTranscriptionJobResult |
startTranscriptionJob(StartTranscriptionJobRequest request)
Starts an asynchronous job to transcribe speech to text.
|
TagResourceResult |
tagResource(TagResourceRequest request)
Tags an Amazon Transcribe resource with the given list of tags.
|
UntagResourceResult |
untagResource(UntagResourceRequest request)
Removes specified tags from a specified Amazon Transcribe resource.
|
UpdateCallAnalyticsCategoryResult |
updateCallAnalyticsCategory(UpdateCallAnalyticsCategoryRequest request)
Updates the call analytics category with new values.
|
UpdateMedicalVocabularyResult |
updateMedicalVocabulary(UpdateMedicalVocabularyRequest request)
Updates a vocabulary with new values that you provide in a different text file from the one you used to create
the vocabulary.
|
UpdateVocabularyResult |
updateVocabulary(UpdateVocabularyRequest request)
Updates an existing vocabulary with new values.
|
UpdateVocabularyFilterResult |
updateVocabularyFilter(UpdateVocabularyFilterRequest request)
Updates a vocabulary filter with a new list of filtered words.
|
public CreateCallAnalyticsCategoryResult createCallAnalyticsCategory(CreateCallAnalyticsCategoryRequest request)
AmazonTranscribeCreates a call analytics category. Amazon Transcribe applies the conditions specified by your call analytics categories to your call analytics jobs. For each analytics category, you must create between 1 and 20 rules. For example, you can create a 'greeting' category with a rule that flags calls in which your agent does not use a specified phrase (for example: "Please note this call may be recorded.") in the first 15 seconds of the call. When you start a call analytics job, Amazon Transcribe applies all your existing call analytics categories to that job.
createCallAnalyticsCategory in interface AmazonTranscribepublic CreateLanguageModelResult createLanguageModel(CreateLanguageModelRequest request)
AmazonTranscribeCreates a new custom language model. When creating a new 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. You then include the S3 URI location of your training and tuning files, the language for the model, a unique name, and any tags you want associated with your model.
createLanguageModel in interface AmazonTranscribepublic CreateMedicalVocabularyResult createMedicalVocabulary(CreateMedicalVocabularyRequest request)
AmazonTranscribeCreates a new custom medical vocabulary.
When creating a new medical vocabulary, you must upload a text file that contains your new entries, phrases, and
terms into an S3 bucket. Note that this differs from , where you can include a list of terms within your request
using the Phrases flag, as CreateMedicalVocabulary does not support the
Phrases flag.
For more information on creating a custom vocabulary text file, see Creating a custom vocabulary.
createMedicalVocabulary in interface AmazonTranscribepublic CreateVocabularyResult createVocabulary(CreateVocabularyRequest request)
AmazonTranscribeCreates a new custom vocabulary.
When creating a new medical vocabulary, you can either upload a text file that contains your new entries,
phrases, and terms into an S3 bucket or include a list of terms directly in your request using the
Phrases flag.
For more information on creating a custom vocabulary, see Creating a custom vocabulary.
createVocabulary in interface AmazonTranscribepublic CreateVocabularyFilterResult createVocabularyFilter(CreateVocabularyFilterRequest request)
AmazonTranscribeCreates a new vocabulary filter that you can use to filter words from your transcription output. For example, you can use this operation to remove profanity from your transcript.
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.
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.
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.
deleteLanguageModel in interface AmazonTranscribepublic DeleteMedicalTranscriptionJobResult deleteMedicalTranscriptionJob(DeleteMedicalTranscriptionJobRequest request)
AmazonTranscribe
Deletes a medical transcription job, along with any related information. To use this operation, specify the name
of the job you want to delete using MedicalTranscriptionJobName.
deleteMedicalTranscriptionJob in interface AmazonTranscribepublic DeleteMedicalVocabularyResult deleteMedicalVocabulary(DeleteMedicalVocabularyRequest request)
AmazonTranscribe
Deletes a custom medical vocabulary. To use this operation, specify the name of the vocabulary you want to delete
using VocabularyName.
deleteMedicalVocabulary in interface AmazonTranscribepublic DeleteTranscriptionJobResult deleteTranscriptionJob(DeleteTranscriptionJobRequest request)
AmazonTranscribe
Deletes a transcription job, along with any related information. To use this operation, specify the name of the
job you want to delete using TranscriptionJobName.
deleteTranscriptionJob in interface AmazonTranscribepublic DeleteVocabularyResult deleteVocabulary(DeleteVocabularyRequest request)
AmazonTranscribe
Deletes a custom vocabulary. To use this operation, specify the name of the vocabulary you want to delete using
VocabularyName.
deleteVocabulary in interface AmazonTranscribepublic DeleteVocabularyFilterResult deleteVocabularyFilter(DeleteVocabularyFilterRequest request)
AmazonTranscribe
Deletes a vocabulary filter. To use this operation, specify the name of the vocabulary filter you want to delete
using VocabularyFilterName.
deleteVocabularyFilter in interface AmazonTranscribepublic DescribeLanguageModelResult describeLanguageModel(DescribeLanguageModelRequest request)
AmazonTranscribeProvides information about a specific custom language model in your Amazon Web Services account.
This operation also shows if the base language model 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 this operation to help identify the reason.
describeLanguageModel in interface AmazonTranscribepublic GetCallAnalyticsCategoryResult getCallAnalyticsCategory(GetCallAnalyticsCategoryRequest request)
AmazonTranscribeRetrieves information about a call analytics category.
getCallAnalyticsCategory in interface AmazonTranscribepublic GetCallAnalyticsJobResult getCallAnalyticsJob(GetCallAnalyticsJobRequest request)
AmazonTranscribeRetrieves information about a call analytics job.
To view the job's status, refer to the CallAnalyticsJobStatus field. If the status is
COMPLETED, the job is finished. You can then find your transcript at the URI specified in the
TranscriptFileUri field. If you enabled personally identifiable information (PII) redaction, the
redacted transcript appears in the RedactedTranscriptFileUri field.
getCallAnalyticsJob in interface AmazonTranscribepublic GetMedicalTranscriptionJobResult getMedicalTranscriptionJob(GetMedicalTranscriptionJobRequest request)
AmazonTranscribeRetrieves information about a medical transcription job.
To view the job's status, refer to the TranscriptionJobStatus field. If the status is
COMPLETED, the job is finished. You can then find your transcript at the URI specified in the
TranscriptFileUri field.
getMedicalTranscriptionJob in interface AmazonTranscribepublic GetMedicalVocabularyResult getMedicalVocabulary(GetMedicalVocabularyRequest request)
AmazonTranscribeRetrieves information about a medical vocabulary.
getMedicalVocabulary in interface AmazonTranscribepublic GetTranscriptionJobResult getTranscriptionJob(GetTranscriptionJobRequest request)
AmazonTranscribe
Returns information about a transcription job. To see the status of the job, check the
TranscriptionJobStatus field. If the status is COMPLETED, the job is finished and you
can find the results at the location specified in the TranscriptFileUri field. If you enable content
redaction, the redacted transcript appears in RedactedTranscriptFileUri.
getTranscriptionJob in interface AmazonTranscribepublic GetVocabularyResult getVocabulary(GetVocabularyRequest request)
AmazonTranscribeGets information about a vocabulary.
getVocabulary in interface AmazonTranscribepublic GetVocabularyFilterResult getVocabularyFilter(GetVocabularyFilterRequest request)
AmazonTranscribeReturns information about a vocabulary filter.
getVocabularyFilter in interface AmazonTranscribepublic ListCallAnalyticsCategoriesResult listCallAnalyticsCategories(ListCallAnalyticsCategoriesRequest request)
AmazonTranscribeProvides more information about the call analytics categories that you've created. You can use the information in this list to find a specific category. You can then use the operation to get more information about it.
listCallAnalyticsCategories in interface AmazonTranscribepublic ListCallAnalyticsJobsResult listCallAnalyticsJobs(ListCallAnalyticsJobsRequest request)
AmazonTranscribeList call analytics jobs with a specified status or substring that matches their names.
listCallAnalyticsJobs in interface AmazonTranscribepublic ListLanguageModelsResult listLanguageModels(ListLanguageModelsRequest request)
AmazonTranscribeProvides more information about the custom language models you've created. You can use the information in this list to find a specific custom language model. You can then use the operation to get more information about it.
listLanguageModels in interface AmazonTranscribepublic ListMedicalTranscriptionJobsResult listMedicalTranscriptionJobs(ListMedicalTranscriptionJobsRequest request)
AmazonTranscribeLists medical transcription jobs with a specified status or substring that matches their names.
listMedicalTranscriptionJobs in interface AmazonTranscribepublic ListMedicalVocabulariesResult listMedicalVocabularies(ListMedicalVocabulariesRequest request)
AmazonTranscribeReturns a list of vocabularies that match the specified criteria. If you don't enter a value in any of the request parameters, returns the entire list of vocabularies.
listMedicalVocabularies in interface AmazonTranscribepublic ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request)
AmazonTranscribeLists all tags associated with a given transcription job, vocabulary, or resource.
listTagsForResource in interface AmazonTranscribepublic ListTranscriptionJobsResult listTranscriptionJobs(ListTranscriptionJobsRequest request)
AmazonTranscribeLists transcription jobs with the specified status.
listTranscriptionJobs in interface AmazonTranscribepublic ListVocabulariesResult listVocabularies(ListVocabulariesRequest request)
AmazonTranscribeReturns a list of vocabularies that match the specified criteria. If no criteria are specified, returns the entire list of vocabularies.
listVocabularies in interface AmazonTranscribepublic ListVocabularyFiltersResult listVocabularyFilters(ListVocabularyFiltersRequest request)
AmazonTranscribeGets information about vocabulary filters.
listVocabularyFilters in interface AmazonTranscribepublic StartCallAnalyticsJobResult startCallAnalyticsJob(StartCallAnalyticsJobRequest request)
AmazonTranscribeStarts an asynchronous analytics job that not only transcribes the audio recording of a caller and agent, but also returns additional insights. These insights include how quickly or loudly the caller or agent was speaking. To retrieve additional insights with your analytics jobs, create categories. A category is a way to classify analytics jobs based on attributes, such as a customer's sentiment or a particular phrase being used during the call. For more information, see the operation.
startCallAnalyticsJob in interface AmazonTranscribepublic StartMedicalTranscriptionJobResult startMedicalTranscriptionJob(StartMedicalTranscriptionJobRequest request)
AmazonTranscribeStarts a batch job to transcribe medical speech to text.
startMedicalTranscriptionJob in interface AmazonTranscribepublic StartTranscriptionJobResult startTranscriptionJob(StartTranscriptionJobRequest request)
AmazonTranscribeStarts an asynchronous job to transcribe speech to text.
startTranscriptionJob in interface AmazonTranscribepublic TagResourceResult tagResource(TagResourceRequest request)
AmazonTranscribeTags an Amazon Transcribe resource with the given list of tags.
tagResource in interface AmazonTranscribepublic UntagResourceResult untagResource(UntagResourceRequest request)
AmazonTranscribeRemoves specified tags from a specified Amazon Transcribe resource.
untagResource in interface AmazonTranscribepublic UpdateCallAnalyticsCategoryResult updateCallAnalyticsCategory(UpdateCallAnalyticsCategoryRequest request)
AmazonTranscribe
Updates the call analytics category with new values. The UpdateCallAnalyticsCategory operation
overwrites all of the existing information with the values that you provide in the request.
updateCallAnalyticsCategory in interface AmazonTranscribepublic UpdateMedicalVocabularyResult updateMedicalVocabulary(UpdateMedicalVocabularyRequest request)
AmazonTranscribe
Updates a vocabulary with new values that you provide in a different text file from the one you used to create
the vocabulary. The UpdateMedicalVocabulary operation overwrites all of the existing information
with the values that you provide in the request.
updateMedicalVocabulary in interface AmazonTranscribepublic UpdateVocabularyResult updateVocabulary(UpdateVocabularyRequest request)
AmazonTranscribe
Updates an existing vocabulary with new values. The UpdateVocabulary operation overwrites all of the
existing information with the values that you provide in the request.
updateVocabulary in interface AmazonTranscribepublic UpdateVocabularyFilterResult updateVocabularyFilter(UpdateVocabularyFilterRequest request)
AmazonTranscribeUpdates a vocabulary filter with a new list of filtered words.
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.