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ITranscribeStartMedicalTranscriptionJobRequest

Interface in AWS.Transcribe

Interface for StartMedicalTranscriptionJob requests.

Ancestors

Properties

ContentIdentificationType

property ContentIdentificationType: string

Specify whether to label all personal health information (PHI) identified in the transcript.

Valid values: PHI.

KMSEncryptionContext

property KMSEncryptionContext: TDictionary<string, string>

Specify encryption context in the form of non-secret key-value pairs.

LanguageCode

property LanguageCode: string

Specify the language code that represents the language of the content of the media file.

Valid values: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.

Media

property Media: ITranscribeMedia

Type: ITranscribeMedia

Specify the location of the media to transcribe.

MediaFormat

property MediaFormat: string

Specify the format of the input media.

Valid values: mp3 | mp4 | wav | flac | ogg | amr | webm.

MediaSampleRateHertz

property MediaSampleRateHertz: TOptional<Integer>

Specify the sample rate in hertz, of the audio track in the input media file.

Valid range: minimum 16000, maximum 48000. If specified, the value must match the media file's sample rate otherwise it will fail. If not specified, Amazon Transcribe Medical determines the value automatically. It is advised to omit this value.

MedicalTranscriptionJobName

property MedicalTranscriptionJobName: string

Specify a unique name for the medical transcription job.

OutputBucketName

property OutputBucketName: string

Specify the name of an Amazon S3 bucket to store the output from the medical transcription job.

Do not include the s3:// prefix. To specify a sub-folder in the bucket, use the OutputKey parameter.

OutputEncryptionKMSKeyId

property OutputEncryptionKMSKeyId: string

Specify the KMS key you want to use to encrypt the medical transcription output.

OutputKey

property OutputKey: string

Specify the output location for the transcript within the Amazon S3 bucket specified by OutputBucketName.

If not specified, the default name will be the specified MedicalTranscriptionJobName. The OutputKey can be specified as:

  • A folder to contain the transcript e.g. transcripts/.
  • A custom filename to use, inluding path, to contain the transcript e.g. transcripts/my-transcript.json. If a non-existent folder is specified, it is created for you.

Settings

property Settings: ITranscribeMedicalTranscriptionSetting

Type: ITranscribeMedicalTranscriptionSetting

Specify additional settings for the medical transcription job.

Specialty

property Specialty: string

Specify the predominent medical specialty represented in the media.

For batch transcriptions, the only valid value is PRIMARYCARE.

Tags

property Tags: TList<ITranscribeTag>

Type: ITranscribeTag

Specify a list of tags to associate with the medical transcription job.

Type

property Type: string

Specify whether the input media contains only one person (DICTATION), or a two people having a conversation (CONVERSATION).

Valid values: CONVERSATION | DICTATION. DICTATION is suitable medical professionals wanting to transcribe their voice memos. CONVERSATION may be used for transcribing doctor-patient dialog.

Methods

AddKMSEncryptionContext

procedure AddKMSEncryptionContext(const AKey, AValue: string);

Add a key-value pair to KMSEncryptionContext.

Parameters

NameDescription
AKeySpecify a key for the value being added to KMSEncryptionContext.
AValueSpecify a value to add to KMSEncryptionContext.

AddTag

function AddTag(const AKey, AValue: string): Integer;

Add a key-value pair to Tags.

Parameters

NameDescription
AKeySpecify a key for the tag.
AValueSpecify a value for the tag.

Returns

Returns the index of the tag added to Tags.