Module Awso_transcribe_asyncSource

A time range, in milliseconds, between two points in your media file. You can use StartTime and EndTime to search a custom segment. For example, setting StartTime to 10000 and EndTime to 50000 only searches for your specified criteria in the audio contained between the 10,000 millisecond mark and the 50,000 millisecond mark of your media file. You must use StartTime and EndTime as a set; that is, if you include one, you must include both. You can use also First to search from the start of the audio until the time that you specify, or Last to search from the time that you specify until the end of the audio. For example, setting First to 50000 only searches for your specified criteria in the audio contained between the start of the media file to the 50,000 millisecond mark. You can use First and Last independently of each other. If you prefer to use percentage instead of milliseconds, see .

A time range, in percentage, between two points in your media file. You can use StartPercentage and EndPercentage to search a custom segment. For example, setting StartPercentage to 10 and EndPercentage to 50 only searches for your specified criteria in the audio contained between the 10 percent mark and the 50 percent mark of your media file. You can use also First to search from the start of the media file until the time that you specify. Or use Last to search from the time that you specify until the end of the media file. For example, setting First to 10 only searches for your specified criteria in the audio contained in the first 10 percent of the media file. If you prefer to use milliseconds instead of percentage, see .

Represents a skipped analytics feature during the analysis of a call analytics job. The Feature field indicates the type of analytics feature that was skipped. The Message field contains additional information or a message explaining why the analytics feature was skipped. The ReasonCode field provides a code indicating the reason why the analytics feature was skipped.

Flag the presence or absence of interruptions in your Call Analytics transcription output. Rules using InterruptionFilter are designed to match: Instances where an agent interrupts a customer Instances where a customer interrupts an agent Either participant interrupting the other A lack of interruptions See Rule criteria for post-call categories for usage examples.

Flag the presence or absence of periods of silence in your Call Analytics transcription output. Rules using NonTalkTimeFilter are designed to match: The presence of silence at specified periods throughout the call The presence of speech at specified periods throughout the call See Rule criteria for post-call categories for usage examples.

Flag the presence or absence of specific sentiments detected in your Call Analytics transcription output. Rules using SentimentFilter are designed to match: The presence or absence of a positive sentiment felt by the customer, agent, or both at specified points in the call The presence or absence of a negative sentiment felt by the customer, agent, or both at specified points in the call The presence or absence of a neutral sentiment felt by the customer, agent, or both at specified points in the call The presence or absence of a mixed sentiment felt by the customer, the agent, or both at specified points in the call See Rule criteria for post-call categories for usage examples.

Flag the presence or absence of specific words or phrases detected in your Call Analytics transcription output. Rules using TranscriptFilter are designed to match: Custom words or phrases spoken by the agent, the customer, or both Custom words or phrases not spoken by the agent, the customer, or either Custom words or phrases that occur at a specific time frame See Rule criteria for post-call categories and Rule criteria for streaming categories for usage examples.

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.

Provides information on the speech contained in a discreet utterance when multi-language identification is enabled in your request. This utterance represents a block of speech consisting of one language, preceded or followed by a block of speech in a different language.

Contains ToxicityCategories, which is a required parameter if you want to enable toxicity detection (ToxicityDetection) in your transcription request.

A rule is a set of criteria that you can specify to flag an attribute in your Call Analytics output. Rules define a Call Analytics category. Rules can include these parameters: , , , and . To learn more about Call Analytics rules and categories, see Creating categories for post-call transcriptions and Creating categories for real-time transcriptions. To learn more about Call Analytics, see Analyzing call center audio with Call Analytics.

Adds metadata, in the form of a key:value pair, to the specified resource. For example, you could add the tag Department:Sales to a resource to indicate that it pertains to your organization's sales department. You can also use tags for tag-based access control. To learn more about tagging, see Tagging resources.

Indicates which speaker is on which channel. The options are CLINICIAN and PATIENT

The output configuration for clinical note generation.

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.

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

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).

Provides the name of the custom language model that was included in the specified transcription job. Only use ModelSettings with the LanguageModelName sub-parameter if you're not using automatic language identification (). If using LanguageIdSettings in your request, this parameter contains a LanguageModelName sub-parameter.

Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location. When using InputDataConfig, you must include these sub-parameters: S3Uri and DataAccessRoleArn. You can optionally include TuningDataS3Uri.

Contains details about a call analytics job, including information about skipped analytics features.

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.

Describes the Amazon S3 location of the media file you want to use in your request. For information on supported media formats, refer to the MediaFormat parameter or the Media formats section in the Amazon S3 Developer Guide.

Allows 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.

Provides information about your subtitle file, including format, start index, and Amazon S3 location.

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

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

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

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.

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.

Contains patient-specific information used to customize the clinical note generation.

Provides additional optional settings for your request, including content redaction, automatic language identification; allows you to apply custom language models, custom vocabulary filters, and custom vocabularies.

Provides information about a custom vocabulary filter, including the language of the filter, when it was last modified, and its name.

Provides information about a custom vocabulary, including the language of the custom vocabulary, when it was last modified, its name, and the processing state.

Provides detailed information about a specific transcription job.

Provides detailed information about a specific medical transcription job.

Provides detailed information about a specific Medical Scribe job.

Provides information about a custom language model, including: The base model name When the model was created The location of the files used to train the model When the model was last modified The name you chose for the model The model's language The model's processing state Any available upgrades for the base model

Provides detailed information about a specific Call Analytics job.

Provides you with the properties of the Call Analytics category you specified in your request. This includes the list of rules that define the specified category.

Your request didn't pass one or more validation tests. This can occur when the entity you're trying to delete doesn't exist or if it's in a non-terminal state (such as IN PROGRESS). See the exception message field for more information.

A resource already exists with this name. Resource names must be unique within an Amazon Web Services account.

There was an internal error. Check the error message, correct the issue, and try your request again.

You've either sent too many requests or your input file is too long. Wait before retrying your request, or use a smaller file and try your request again.

We can't find the requested resource. Check that the specified name is correct and try your request again.

Provides detailed information about a transcription job. To view the status of the specified transcription 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 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.

Generate subtitles for your media file with your transcription request. You can choose a start index of 0 or 1, and you can specify either WebVTT or SubRip (or both) as your output format. Note that your subtitle files are placed in the same location as your transcription output.

Provides detailed information about a 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 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.

Provides detailed information about a Medical Scribe job. To view the status of the specified Medical Scribe job, check the MedicalScribeJobStatus field. If the status is COMPLETED, the job is finished and you can find the results at the locations specified in MedicalScribeOutput. If the status is FAILED, FailureReason provides details on why your Medical Scribe job failed.

The MedicalScribeContext object that contains contextual information used to generate customized clinical notes.

Provides detailed information about a 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 the RedactedMediaFileUri field of your response.

Updates 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.

Updates 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.

Updates 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.

Updates 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.

Updates 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.

Updates 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.

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 .

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 .

Removes the specified tags from the specified Amazon Transcribe resource. If you include UntagResource in your request, you must also include ResourceArn and TagKeys.

Removes the specified tags from the specified Amazon Transcribe resource. If you include UntagResource in your request, you must also include ResourceArn and TagKeys.

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.

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.

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. 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.

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. 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.

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. 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.

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. 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.

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. 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 object 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 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 object 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 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. Job queuing is available for Call Analytics jobs. If you pass a DataAccessRoleArn in your request and you exceed your Concurrent Job Limit, your job will automatically be added to a queue to be processed once your concurrent job count is below the limit. 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. 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.

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. 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. Job queuing is available for Call Analytics jobs. If you pass a DataAccessRoleArn in your request and you exceed your Concurrent Job Limit, your job will automatically be added to a queue to be processed once your concurrent job count is below the limit. 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. 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Lists 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.

Lists 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

Provides 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.

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. To get a list of your custom vocabularies, use the operation.

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. To get a list of your custom vocabularies, use the operation.

Provides information about the specified custom vocabulary filter. To get a list of your custom vocabulary filters, use the operation.

Provides information about the specified custom vocabulary filter. To get a list of your custom vocabulary filters, use the operation.

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. To get a list of your transcription jobs, use the operation.

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. To get a list of your transcription jobs, use the operation.

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. To get a list of your custom medical vocabularies, use the operation.

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. To get a list of your custom medical vocabularies, use the operation.

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. To get a list of your medical transcription jobs, use the operation.

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. To get a list of your medical transcription jobs, use the operation.

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. To get a list of your Medical Scribe jobs, use the operation.

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. To get a list of your Medical Scribe jobs, use the operation.

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. To get a list of your Call Analytics jobs, use the operation.

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. To get a list of your Call Analytics jobs, use the operation.

Provides information about the specified Call Analytics category. To get a list of your Call Analytics categories, use the operation.

Provides information about the specified Call Analytics category. To get a list of your Call Analytics categories, use the operation.

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. 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.

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. 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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 to get the character set for your language. For more information, see Custom vocabularies.

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 to get the character set for your language. For more information, see Custom vocabularies.

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 to get the character set for your language. For more information, see Vocabulary filtering.

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 to get the character set for your language. For more information, see Vocabulary filtering.

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 to get the character set for your language. For more information, see Custom vocabularies.

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 to get the character set for your language. For more information, see Custom vocabularies.

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 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 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.

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 . To learn more about Call Analytics categories, see Creating categories for post-call transcriptions and Creating categories for real-time transcriptions.