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Class: Aws::TranscribeService::Types::Settings
- Inherits:
-
Struct
- Object
- Struct
- Aws::TranscribeService::Types::Settings
- Defined in:
- (unknown)
Overview
When passing Settings as input to an Aws::Client method, you can use a vanilla Hash:
{
vocabulary_name: "VocabularyName",
show_speaker_labels: false,
max_speaker_labels: 1,
channel_identification: false,
show_alternatives: false,
max_alternatives: 1,
vocabulary_filter_name: "VocabularyFilterName",
vocabulary_filter_method: "remove", # accepts remove, mask
}
Provides optional settings for the StartTranscriptionJob
operation.
Returned by:
Instance Attribute Summary collapse
-
#channel_identification ⇒ Boolean
Instructs Amazon Transcribe to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
-
#max_alternatives ⇒ Integer
The number of alternative transcriptions that the service should return.
-
#max_speaker_labels ⇒ Integer
The maximum number of speakers to identify in the input audio.
-
#show_alternatives ⇒ Boolean
Determines whether the transcription contains alternative transcriptions.
-
#show_speaker_labels ⇒ Boolean
Determines whether the transcription job uses speaker recognition to identify different speakers in the input audio.
-
#vocabulary_filter_method ⇒ String
Set to
mask
to remove filtered text from the transcript and replace it with three asterisks (\"***\") as placeholder text. -
#vocabulary_filter_name ⇒ String
The name of the vocabulary filter to use when transcribing the audio.
-
#vocabulary_name ⇒ String
The name of a vocabulary to use when processing the transcription job.
Instance Attribute Details
#channel_identification ⇒ Boolean
Instructs Amazon Transcribe to process each audio channel separately and then merge the transcription output of each channel into a single transcription.
Amazon Transcribe also produces a transcription of each item detected on an audio channel, including the start time and end time of the item and alternative transcriptions of the item including the confidence that Amazon Transcribe has in the transcription.
You can\'t set both ShowSpeakerLabels
and ChannelIdentification
in
the same request. If you set both, your request returns a
BadRequestException
.
#max_alternatives ⇒ Integer
The number of alternative transcriptions that the service should return.
If you specify the MaxAlternatives
field, you must set the
ShowAlternatives
field to true.
#max_speaker_labels ⇒ Integer
The maximum number of speakers to identify in the input audio. If there
are more speakers in the audio than this number, multiple speakers are
identified as a single speaker. If you specify the MaxSpeakerLabels
field, you must set the ShowSpeakerLabels
field to true.
#show_alternatives ⇒ Boolean
Determines whether the transcription contains alternative
transcriptions. If you set the ShowAlternatives
field to true, you
must also set the maximum number of alternatives to return in the
MaxAlternatives
field.
#show_speaker_labels ⇒ Boolean
Determines whether the transcription job uses speaker recognition to
identify different speakers in the input audio. Speaker recognition
labels individual speakers in the audio file. If you set the
ShowSpeakerLabels
field to true, you must also set the maximum number
of speaker labels MaxSpeakerLabels
field.
You can\'t set both ShowSpeakerLabels
and ChannelIdentification
in
the same request. If you set both, your request returns a
BadRequestException
.
#vocabulary_filter_method ⇒ String
Set to mask
to remove filtered text from the transcript and replace it
with three asterisks (\"***\") as placeholder text. Set to remove
to remove filtered text from the transcript without using placeholder
text.
Possible values:
- remove
- mask
#vocabulary_filter_name ⇒ String
The name of the vocabulary filter to use when transcribing the audio. The filter that you specify must have the same language code as the transcription job.
#vocabulary_name ⇒ String
The name of a vocabulary to use when processing the transcription job.