[ aws . transcribe ]

get-call-analytics-job

Description

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.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  get-call-analytics-job
--call-analytics-job-name <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--call-analytics-job-name (string)

The name of the Call Analytics job you want information about. Job names are case sensitive.

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See ‘aws help’ for descriptions of global parameters.

Output

CallAnalyticsJob -> (structure)

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

CallAnalyticsJobName -> (string)

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

CallAnalyticsJobStatus -> (string)

Provides the status of the specified Call Analytics job.

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

LanguageCode -> (string)

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

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

MediaSampleRateHertz -> (integer)

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

MediaFormat -> (string)

The format of the input media file.

Media -> (structure)

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

MediaFileUri -> (string)

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

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

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

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

RedactedMediaFileUri -> (string)

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

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

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

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

Warning

RedactedMediaFileUri is only supported for Call Analytics (StartCallAnalyticsJob ) transcription requests.

Transcript -> (structure)

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

TranscriptFileUri -> (string)

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

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

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

Note

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

RedactedTranscriptFileUri -> (string)

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

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

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

Note

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

StartTime -> (timestamp)

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

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

CreationTime -> (timestamp)

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

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

CompletionTime -> (timestamp)

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

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

FailureReason -> (string)

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

The FailureReason field contains one of the following values:

• Unsupported media format . The media format specified in MediaFormat isn’t valid. Refer to MediaFormat for a list of supported formats.

• The media format provided does not match the detected media format . The media format specified in MediaFormat doesn’t match the format of the input file. Check the media format of your media file and correct the specified value.

• Invalid sample rate for audio file . The sample rate specified in MediaSampleRateHertz isn’t valid. The sample rate must be between 8,000 and 48,000 Hertz.

• The sample rate provided does not match the detected sample rate . The sample rate specified in MediaSampleRateHertz doesn’t match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.

• Invalid file size: file size too large . The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Guidelines and quotas .

• Invalid number of channels: number of channels too large . Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Guidelines and quotas .

DataAccessRoleArn -> (string)

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

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

For more information, see IAM ARNs .

IdentifiedLanguageScore -> (float)

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

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

Settings -> (structure)

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

VocabularyName -> (string)

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

VocabularyFilterName -> (string)

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

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

VocabularyFilterMethod -> (string)

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

To replace words with *** , choose mask .

To delete words, choose remove .

To flag words without changing them, choose tag .

LanguageModelName -> (string)

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

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

ContentRedaction -> (structure)

Allows you to redact or flag specified personally identifiable information (PII) in your transcript. If you use ContentRedaction , you must also include the sub-parameters: PiiEntityTypes , RedactionOutput , and RedactionType .

RedactionType -> (string)

Specify the category of information you want to redact; PII (personally identifiable information) is the only valid value. You can use PiiEntityTypes to choose which types of PII you want to redact.

RedactionOutput -> (string)

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

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

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

PiiEntityTypes -> (list)

Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you’d like, or you can select ALL .

(string)

LanguageOptions -> (list)

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

Including language options can improve the accuracy of language identification.

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

(string)

LanguageIdSettings -> (map)

If using automatic language identification (IdentifyLanguage ) 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 ).

You can specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The languages you specify must match the languages of the specified custom language models, custom vocabularies, and custom vocabulary filters.

To include language options using IdentifyLanguage without including a custom language model, a custom vocabulary, or a custom vocabulary filter, use LanguageOptions instead of LanguageIdSettings . Including language options can improve the accuracy of automatic language identification.

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.

key -> (string)

value -> (structure)

If using automatic language identification (IdentifyLanguage ) 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 ).

You can specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The languages you specify must match the languages of the specified custom language models, custom vocabularies, and custom vocabulary filters.

To include language options using IdentifyLanguage without including a custom language model, a custom vocabulary, or a custom vocabulary filter, use LanguageOptions instead of LanguageIdSettings . Including language options can improve the accuracy of automatic language identification.

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.

VocabularyName -> (string)

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

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

VocabularyFilterName -> (string)

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

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

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

LanguageModelName -> (string)

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

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

ChannelDefinitions -> (list)

Allows you to specify which speaker is on which channel in your Call Analytics job request. 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).

(structure)

Allows you 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).

ChannelId -> (integer)

Specify the audio channel you want to define.

ParticipantRole -> (string)

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