Start Transcription Job
transcribeservice_start_transcription_job | R Documentation |
Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request¶
Description¶
Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request.
To make a start_transcription_job
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
start_transcription_job
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
, orIdentifyMultipleLanguages
: If you know the language of your media file, specify it using theLanguageCode
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 eitherIdentifyLanguage
orIdentifyMultipleLanguages
and let Amazon Transcribe identify the languages for you.
Usage¶
transcribeservice_start_transcription_job(TranscriptionJobName,
LanguageCode, MediaSampleRateHertz, MediaFormat, Media,
OutputBucketName, OutputKey, OutputEncryptionKMSKeyId,
KMSEncryptionContext, Settings, ModelSettings, JobExecutionSettings,
ContentRedaction, IdentifyLanguage, IdentifyMultipleLanguages,
LanguageOptions, Subtitles, Tags, LanguageIdSettings, ToxicityDetection)
Arguments¶
TranscriptionJobName
[required] A unique name, chosen by you, for your transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the
OutputKey
parameter.This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a
ConflictException
error.LanguageCode
The language code that represents the language spoken in the input media file.
If you're unsure of the language spoken in your media file, consider using
IdentifyLanguage
orIdentifyMultipleLanguages
to enable automatic language identification.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.For a list of supported languages and their associated language codes, refer to the Supported languages table.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.MediaSampleRateHertz
The sample rate, in hertz, of the audio track in your input media file.
If you do not specify the media sample rate, Amazon Transcribe determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe. If there's a mismatch between the value that you specify and the value detected, your job fails. In most cases, you can omit
MediaSampleRateHertz
and let Amazon Transcribe determine the sample rate.MediaFormat
Specify the format of your input media file.
Media
[required] Describes the Amazon S3 location of the media file you want to use in your request.
OutputBucketName
The name of the Amazon S3 bucket where you want your transcription output stored. Do not include the
S3://
prefix of the specified bucket.If you want your output to go to a sub-folder of this bucket, specify it using the
OutputKey
parameter;OutputBucketName
only accepts the name of a bucket.For example, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
. However, if you want your output stored inS3://DOC-EXAMPLE-BUCKET/test-files/
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
andOutputKey
totest-files/
.Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.
If you do not specify
OutputBucketName
, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.OutputKey
Use in combination with
OutputBucketName
to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your transcription job (TranscriptionJobName
).Here are some examples of how you can use
OutputKey
:If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript.json
.If you specify 'my-first-transcription' as the
TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json
.If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'test-files/my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.If you specify 'my-first-transcription' as the
TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'test-files/my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json
.
If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
OutputEncryptionKMSKeyId
The KMS key you want to use to encrypt your transcription output.
If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:
Use the KMS key ID itself. For example,
1234abcd-12ab-34cd-56ef-1234567890ab
.Use an alias for the KMS key ID. For example,
alias/ExampleAlias
.Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
.Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:
Use the ARN for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
.Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
If you specify a KMS key to encrypt your output, you must also specify an output location using the
OutputLocation
parameter.Note that the role making the request must have permission to use the specified KMS key.
KMSEncryptionContext
A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
Settings
Specify additional optional settings in your request, including channel identification, alternative transcriptions, speaker partitioning. You can use that to apply custom vocabularies and vocabulary filters.
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
Settings
with theVocabularyName
orVocabularyFilterName
(or both) sub-parameter.If you're using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, use instead the “ parameter with the
LanguageModelName
, 'VocabularyName' or 'VocabularyFilterName' sub-parameters.ModelSettings
Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include theLanguageModelName
sub-parameter.For more information, see Custom language models.
JobExecutionSettings
Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using theAllowDeferredExecution
sub-parameter.If you include
JobExecutionSettings
in your request, you must also include the sub-parameters:AllowDeferredExecution
andDataAccessRoleArn
.ContentRedaction
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
andRedactionType
. You can optionally includePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted.IdentifyLanguage
Enables automatic language identification in your transcription job request. Use this parameter if your media file contains only one language. If your media contains multiple languages, use
IdentifyMultipleLanguages
instead.If you include
IdentifyLanguage
, you can optionally include a list of language codes, usingLanguageOptions
, that you think may be present in your media file. IncludingLanguageOptions
restrictsIdentifyLanguage
to only the language options that you specify, which can improve transcription accuracy.If you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter to your automatic language identification request, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
). If you includeLanguageIdSettings
, also includeLanguageOptions
.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.IdentifyMultipleLanguages
Enables automatic multi-language identification in your transcription job request. Use this parameter if your media file contains more than one language. If your media contains only one language, use
IdentifyLanguage
instead.If you include
IdentifyMultipleLanguages
, you can optionally include a list of language codes, usingLanguageOptions
, that you think may be present in your media file. IncludingLanguageOptions
restrictsIdentifyLanguage
to only the language options that you specify, which can improve transcription accuracy.If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic language identification request, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
andVocabularyFilterName
). If you includeLanguageIdSettings
, also includeLanguageOptions
.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.LanguageOptions
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.
If you include
LanguageOptions
in your request, you must also includeIdentifyLanguage
.For more information, refer to Supported languages.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.Subtitles
Produces subtitle files for your input media. You can specify WebVTT (.vtt) and SubRip (.srt) formats.
Tags
Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
LanguageIdSettings
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
, andVocabularyFilterName
). 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 usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-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 theVocabularyName
orVocabularyFilterName
(or both) sub-parameter.ToxicityDetection
Enables toxic speech detection in your transcript. If you include
ToxicityDetection
in your request, you must also includeToxicityCategories
.For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
Value¶
A list with the following syntax:
list(
TranscriptionJob = list(
TranscriptionJobName = "string",
TranscriptionJobStatus = "QUEUED"|"IN_PROGRESS"|"FAILED"|"COMPLETED",
LanguageCode = "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"|"ab-GE"|"ast-ES"|"az-AZ"|"ba-RU"|"be-BY"|"bg-BG"|"bn-IN"|"bs-BA"|"ca-ES"|"ckb-IQ"|"ckb-IR"|"cs-CZ"|"cy-WL"|"el-GR"|"et-ET"|"eu-ES"|"fi-FI"|"gl-ES"|"gu-IN"|"ha-NG"|"hr-HR"|"hu-HU"|"hy-AM"|"is-IS"|"ka-GE"|"kab-DZ"|"kk-KZ"|"kn-IN"|"ky-KG"|"lg-IN"|"lt-LT"|"lv-LV"|"mhr-RU"|"mi-NZ"|"mk-MK"|"ml-IN"|"mn-MN"|"mr-IN"|"mt-MT"|"no-NO"|"or-IN"|"pa-IN"|"pl-PL"|"ps-AF"|"ro-RO"|"rw-RW"|"si-LK"|"sk-SK"|"sl-SI"|"so-SO"|"sr-RS"|"su-ID"|"sw-BI"|"sw-KE"|"sw-RW"|"sw-TZ"|"sw-UG"|"tl-PH"|"tt-RU"|"ug-CN"|"uk-UA"|"uz-UZ"|"wo-SN"|"zu-ZA",
MediaSampleRateHertz = 123,
MediaFormat = "mp3"|"mp4"|"wav"|"flac"|"ogg"|"amr"|"webm"|"m4a",
Media = list(
MediaFileUri = "string",
RedactedMediaFileUri = "string"
),
Transcript = list(
TranscriptFileUri = "string",
RedactedTranscriptFileUri = "string"
),
StartTime = as.POSIXct(
"2015-01-01"
),
CreationTime = as.POSIXct(
"2015-01-01"
),
CompletionTime = as.POSIXct(
"2015-01-01"
),
FailureReason = "string",
Settings = list(
VocabularyName = "string",
ShowSpeakerLabels = TRUE|FALSE,
MaxSpeakerLabels = 123,
ChannelIdentification = TRUE|FALSE,
ShowAlternatives = TRUE|FALSE,
MaxAlternatives = 123,
VocabularyFilterName = "string",
VocabularyFilterMethod = "remove"|"mask"|"tag"
),
ModelSettings = list(
LanguageModelName = "string"
),
JobExecutionSettings = list(
AllowDeferredExecution = TRUE|FALSE,
DataAccessRoleArn = "string"
),
ContentRedaction = list(
RedactionType = "PII",
RedactionOutput = "redacted"|"redacted_and_unredacted",
PiiEntityTypes = list(
"BANK_ACCOUNT_NUMBER"|"BANK_ROUTING"|"CREDIT_DEBIT_NUMBER"|"CREDIT_DEBIT_CVV"|"CREDIT_DEBIT_EXPIRY"|"PIN"|"EMAIL"|"ADDRESS"|"NAME"|"PHONE"|"SSN"|"ALL"
)
),
IdentifyLanguage = TRUE|FALSE,
IdentifyMultipleLanguages = TRUE|FALSE,
LanguageOptions = list(
"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"|"ab-GE"|"ast-ES"|"az-AZ"|"ba-RU"|"be-BY"|"bg-BG"|"bn-IN"|"bs-BA"|"ca-ES"|"ckb-IQ"|"ckb-IR"|"cs-CZ"|"cy-WL"|"el-GR"|"et-ET"|"eu-ES"|"fi-FI"|"gl-ES"|"gu-IN"|"ha-NG"|"hr-HR"|"hu-HU"|"hy-AM"|"is-IS"|"ka-GE"|"kab-DZ"|"kk-KZ"|"kn-IN"|"ky-KG"|"lg-IN"|"lt-LT"|"lv-LV"|"mhr-RU"|"mi-NZ"|"mk-MK"|"ml-IN"|"mn-MN"|"mr-IN"|"mt-MT"|"no-NO"|"or-IN"|"pa-IN"|"pl-PL"|"ps-AF"|"ro-RO"|"rw-RW"|"si-LK"|"sk-SK"|"sl-SI"|"so-SO"|"sr-RS"|"su-ID"|"sw-BI"|"sw-KE"|"sw-RW"|"sw-TZ"|"sw-UG"|"tl-PH"|"tt-RU"|"ug-CN"|"uk-UA"|"uz-UZ"|"wo-SN"|"zu-ZA"
),
IdentifiedLanguageScore = 123.0,
LanguageCodes = list(
list(
LanguageCode = "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"|"ab-GE"|"ast-ES"|"az-AZ"|"ba-RU"|"be-BY"|"bg-BG"|"bn-IN"|"bs-BA"|"ca-ES"|"ckb-IQ"|"ckb-IR"|"cs-CZ"|"cy-WL"|"el-GR"|"et-ET"|"eu-ES"|"fi-FI"|"gl-ES"|"gu-IN"|"ha-NG"|"hr-HR"|"hu-HU"|"hy-AM"|"is-IS"|"ka-GE"|"kab-DZ"|"kk-KZ"|"kn-IN"|"ky-KG"|"lg-IN"|"lt-LT"|"lv-LV"|"mhr-RU"|"mi-NZ"|"mk-MK"|"ml-IN"|"mn-MN"|"mr-IN"|"mt-MT"|"no-NO"|"or-IN"|"pa-IN"|"pl-PL"|"ps-AF"|"ro-RO"|"rw-RW"|"si-LK"|"sk-SK"|"sl-SI"|"so-SO"|"sr-RS"|"su-ID"|"sw-BI"|"sw-KE"|"sw-RW"|"sw-TZ"|"sw-UG"|"tl-PH"|"tt-RU"|"ug-CN"|"uk-UA"|"uz-UZ"|"wo-SN"|"zu-ZA",
DurationInSeconds = 123.0
)
),
Tags = list(
list(
Key = "string",
Value = "string"
)
),
Subtitles = list(
Formats = list(
"vtt"|"srt"
),
SubtitleFileUris = list(
"string"
),
OutputStartIndex = 123
),
LanguageIdSettings = list(
list(
VocabularyName = "string",
VocabularyFilterName = "string",
LanguageModelName = "string"
)
),
ToxicityDetection = list(
list(
ToxicityCategories = list(
"ALL"
)
)
)
)
)
Request syntax¶
svc$start_transcription_job(
TranscriptionJobName = "string",
LanguageCode = "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"|"ab-GE"|"ast-ES"|"az-AZ"|"ba-RU"|"be-BY"|"bg-BG"|"bn-IN"|"bs-BA"|"ca-ES"|"ckb-IQ"|"ckb-IR"|"cs-CZ"|"cy-WL"|"el-GR"|"et-ET"|"eu-ES"|"fi-FI"|"gl-ES"|"gu-IN"|"ha-NG"|"hr-HR"|"hu-HU"|"hy-AM"|"is-IS"|"ka-GE"|"kab-DZ"|"kk-KZ"|"kn-IN"|"ky-KG"|"lg-IN"|"lt-LT"|"lv-LV"|"mhr-RU"|"mi-NZ"|"mk-MK"|"ml-IN"|"mn-MN"|"mr-IN"|"mt-MT"|"no-NO"|"or-IN"|"pa-IN"|"pl-PL"|"ps-AF"|"ro-RO"|"rw-RW"|"si-LK"|"sk-SK"|"sl-SI"|"so-SO"|"sr-RS"|"su-ID"|"sw-BI"|"sw-KE"|"sw-RW"|"sw-TZ"|"sw-UG"|"tl-PH"|"tt-RU"|"ug-CN"|"uk-UA"|"uz-UZ"|"wo-SN"|"zu-ZA",
MediaSampleRateHertz = 123,
MediaFormat = "mp3"|"mp4"|"wav"|"flac"|"ogg"|"amr"|"webm"|"m4a",
Media = list(
MediaFileUri = "string",
RedactedMediaFileUri = "string"
),
OutputBucketName = "string",
OutputKey = "string",
OutputEncryptionKMSKeyId = "string",
KMSEncryptionContext = list(
"string"
),
Settings = list(
VocabularyName = "string",
ShowSpeakerLabels = TRUE|FALSE,
MaxSpeakerLabels = 123,
ChannelIdentification = TRUE|FALSE,
ShowAlternatives = TRUE|FALSE,
MaxAlternatives = 123,
VocabularyFilterName = "string",
VocabularyFilterMethod = "remove"|"mask"|"tag"
),
ModelSettings = list(
LanguageModelName = "string"
),
JobExecutionSettings = list(
AllowDeferredExecution = TRUE|FALSE,
DataAccessRoleArn = "string"
),
ContentRedaction = list(
RedactionType = "PII",
RedactionOutput = "redacted"|"redacted_and_unredacted",
PiiEntityTypes = list(
"BANK_ACCOUNT_NUMBER"|"BANK_ROUTING"|"CREDIT_DEBIT_NUMBER"|"CREDIT_DEBIT_CVV"|"CREDIT_DEBIT_EXPIRY"|"PIN"|"EMAIL"|"ADDRESS"|"NAME"|"PHONE"|"SSN"|"ALL"
)
),
IdentifyLanguage = TRUE|FALSE,
IdentifyMultipleLanguages = TRUE|FALSE,
LanguageOptions = list(
"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"|"ab-GE"|"ast-ES"|"az-AZ"|"ba-RU"|"be-BY"|"bg-BG"|"bn-IN"|"bs-BA"|"ca-ES"|"ckb-IQ"|"ckb-IR"|"cs-CZ"|"cy-WL"|"el-GR"|"et-ET"|"eu-ES"|"fi-FI"|"gl-ES"|"gu-IN"|"ha-NG"|"hr-HR"|"hu-HU"|"hy-AM"|"is-IS"|"ka-GE"|"kab-DZ"|"kk-KZ"|"kn-IN"|"ky-KG"|"lg-IN"|"lt-LT"|"lv-LV"|"mhr-RU"|"mi-NZ"|"mk-MK"|"ml-IN"|"mn-MN"|"mr-IN"|"mt-MT"|"no-NO"|"or-IN"|"pa-IN"|"pl-PL"|"ps-AF"|"ro-RO"|"rw-RW"|"si-LK"|"sk-SK"|"sl-SI"|"so-SO"|"sr-RS"|"su-ID"|"sw-BI"|"sw-KE"|"sw-RW"|"sw-TZ"|"sw-UG"|"tl-PH"|"tt-RU"|"ug-CN"|"uk-UA"|"uz-UZ"|"wo-SN"|"zu-ZA"
),
Subtitles = list(
Formats = list(
"vtt"|"srt"
),
OutputStartIndex = 123
),
Tags = list(
list(
Key = "string",
Value = "string"
)
),
LanguageIdSettings = list(
list(
VocabularyName = "string",
VocabularyFilterName = "string",
LanguageModelName = "string"
)
),
ToxicityDetection = list(
list(
ToxicityCategories = list(
"ALL"
)
)
)
)