--- title: Getting Started with Datadog description: Datadog, the leading service for cloud-scale monitoring. breadcrumbs: Docs > Infrastructure > Datadog Resource Catalog --- # aws_transcribe_medical_transcription_job{% #aws_transcribe_medical_transcription_job %} ## `account_id`{% #account_id %} **Type**: `STRING` ## `completion_time`{% #completion_time %} **Type**: `TIMESTAMP`**Provider name**: `CompletionTime`**Description**: The date and time the specified medical transcription 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. ## `content_identification_type`{% #content_identification_type %} **Type**: `STRING`**Provider name**: `ContentIdentificationType`**Description**: Indicates whether content identification was enabled for your transcription request. ## `creation_time`{% #creation_time %} **Type**: `TIMESTAMP`**Provider name**: `CreationTime`**Description**: The date and time the specified medical transcription 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. ## `failure_reason`{% #failure_reason %} **Type**: `STRING`**Provider name**: `FailureReason`**Description**: If `TranscriptionJobStatus` is `FAILED`, `FailureReason` contains information about why the transcription 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 refer to the `MediaFormat` parameter 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 16,000 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 [Service quotas](https://docs.aws.amazon.com/general/latest/gr/transcribe.html#limits-amazon-transcribe). - `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 [Service quotas](https://docs.aws.amazon.com/general/latest/gr/transcribe.html#limits-amazon-transcribe). ## `language_code`{% #language_code %} **Type**: `STRING`**Provider name**: `LanguageCode`**Description**: The language code used to create your medical transcription job. US English (`en-US`) is the only supported language for medical transcriptions. ## `media`{% #media %} **Type**: `STRUCT`**Provider name**: `Media` - `media_file_uri`**Type**: `STRING`**Provider name**: `MediaFileUri`**Description**: 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. - `redacted_media_file_uri`**Type**: `STRING`**Provider name**: `RedactedMediaFileUri`**Description**: 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.`RedactedMediaFileUri` produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (`StartCallAnalyticsJob`) transcription requests. ## `media_format`{% #media_format %} **Type**: `STRING`**Provider name**: `MediaFormat`**Description**: The format of the input media file. ## `media_sample_rate_hertz`{% #media_sample_rate_hertz %} **Type**: `INT32`**Provider name**: `MediaSampleRateHertz`**Description**: The sample rate, in hertz, of the audio track in your input media file. ## `medical_transcription_job_name`{% #medical_transcription_job_name %} **Type**: `STRING`**Provider name**: `MedicalTranscriptionJobName`**Description**: The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account. ## `settings`{% #settings %} **Type**: `STRUCT`**Provider name**: `Settings`**Description**: Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters. - `channel_identification`**Type**: `BOOLEAN`**Provider name**: `ChannelIdentification`**Description**: Enables channel identification in multi-channel audio. Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript. If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel. For more information, see [Transcribing multi-channel audio](https://docs.aws.amazon.com/transcribe/latest/dg/channel-id.html). - `max_alternatives`**Type**: `INT32`**Provider name**: `MaxAlternatives`**Description**: Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript. If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included. If you include `MaxAlternatives` in your request, you must also include `ShowAlternatives` with a value of `true`. For more information, see [Alternative transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives.html). - `max_speaker_labels`**Type**: `INT32`**Provider name**: `MaxSpeakerLabels`**Description**: Specify the maximum number of speakers you want to partition in your media. Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker. If you specify the `MaxSpeakerLabels` field, you must set the `ShowSpeakerLabels` field to true. - `show_alternatives`**Type**: `BOOLEAN`**Provider name**: `ShowAlternatives`**Description**: To include alternative transcriptions within your transcription output, include `ShowAlternatives` in your transcription request. If you include `ShowAlternatives`, you must also include `MaxAlternatives`, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate. For more information, see [Alternative transcriptions](https://docs.aws.amazon.com/transcribe/latest/dg/how-alternatives.html). - `show_speaker_labels`**Type**: `BOOLEAN`**Provider name**: `ShowSpeakerLabels`**Description**: Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file. If you enable `ShowSpeakerLabels` in your request, you must also include `MaxSpeakerLabels`. For more information, see [Partitioning speakers (diarization)](https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html). - `vocabulary_name`**Type**: `STRING`**Provider name**: `VocabularyName`**Description**: The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive. The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (`en-US`) is the only valid language for Amazon Transcribe Medical. ## `specialty`{% #specialty %} **Type**: `STRING`**Provider name**: `Specialty`**Description**: Describes the medical specialty represented in your media. ## `start_time`{% #start_time %} **Type**: `TIMESTAMP`**Provider name**: `StartTime`**Description**: The date and time the specified medical transcription 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. ## `tags`{% #tags %} **Type**: `UNORDERED_LIST_STRING` ## `transcript`{% #transcript %} **Type**: `STRUCT`**Provider name**: `Transcript`**Description**: Provides you with the Amazon S3 URI you can use to access your transcript. - `transcript_file_uri`**Type**: `STRING`**Provider name**: `TranscriptFileUri`**Description**: The Amazon S3 location of your transcript. You can use this URI to access or download your transcript. Note that this is the Amazon S3 location you specified in your request using the `OutputBucketName` parameter. ## `transcription_job_status`{% #transcription_job_status %} **Type**: `STRING`**Provider name**: `TranscriptionJobStatus`**Description**: Provides the status of the specified medical transcription job. 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. ## `type`{% #type %} **Type**: `STRING`**Provider name**: `Type`**Description**: Indicates whether the input media is a dictation or a conversation, as specified in the `StartMedicalTranscriptionJob` request.