Reference documentation and code samples for the Cloud Video Intelligence V1 API class Google::Cloud::VideoIntelligence::V1::SpeechTranscriptionConfig.
Config for SPEECH_TRANSCRIPTION.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#audio_tracks
def audio_tracks() -> ::Array<::Integer>
Returns
- (::Array<::Integer>) — Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0.
#audio_tracks=
def audio_tracks=(value) -> ::Array<::Integer>
Parameter
- value (::Array<::Integer>) — Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0.
Returns
- (::Array<::Integer>) — Optional. For file formats, such as MXF or MKV, supporting multiple audio tracks, specify up to two tracks. Default: track 0.
#diarization_speaker_count
def diarization_speaker_count() -> ::Integer
Returns
- (::Integer) — Optional. If set, specifies the estimated number of speakers in the conversation. If not set, defaults to '2'. Ignored unless enable_speaker_diarization is set to true.
#diarization_speaker_count=
def diarization_speaker_count=(value) -> ::Integer
Parameter
- value (::Integer) — Optional. If set, specifies the estimated number of speakers in the conversation. If not set, defaults to '2'. Ignored unless enable_speaker_diarization is set to true.
Returns
- (::Integer) — Optional. If set, specifies the estimated number of speakers in the conversation. If not set, defaults to '2'. Ignored unless enable_speaker_diarization is set to true.
#enable_automatic_punctuation
def enable_automatic_punctuation() -> ::Boolean
Returns
- (::Boolean) — Optional. If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses. NOTE: "This is currently offered as an experimental service, complimentary to all users. In the future this may be exclusively available as a premium feature."
#enable_automatic_punctuation=
def enable_automatic_punctuation=(value) -> ::Boolean
Parameter
- value (::Boolean) — Optional. If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses. NOTE: "This is currently offered as an experimental service, complimentary to all users. In the future this may be exclusively available as a premium feature."
Returns
- (::Boolean) — Optional. If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses. NOTE: "This is currently offered as an experimental service, complimentary to all users. In the future this may be exclusively available as a premium feature."
#enable_speaker_diarization
def enable_speaker_diarization() -> ::Boolean
Returns
- (::Boolean) — Optional. If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: When this is true, we send all the words from the beginning of the audio for the top alternative in every consecutive response. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time.
#enable_speaker_diarization=
def enable_speaker_diarization=(value) -> ::Boolean
Parameter
- value (::Boolean) — Optional. If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: When this is true, we send all the words from the beginning of the audio for the top alternative in every consecutive response. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time.
Returns
- (::Boolean) — Optional. If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: When this is true, we send all the words from the beginning of the audio for the top alternative in every consecutive response. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time.
#enable_word_confidence
def enable_word_confidence() -> ::Boolean
Returns
-
(::Boolean) — Optional. If
true
, the top result includes a list of words and the confidence for those words. Iffalse
, no word-level confidence information is returned. The default isfalse
.
#enable_word_confidence=
def enable_word_confidence=(value) -> ::Boolean
Parameter
-
value (::Boolean) — Optional. If
true
, the top result includes a list of words and the confidence for those words. Iffalse
, no word-level confidence information is returned. The default isfalse
.
Returns
-
(::Boolean) — Optional. If
true
, the top result includes a list of words and the confidence for those words. Iffalse
, no word-level confidence information is returned. The default isfalse
.
#filter_profanity
def filter_profanity() -> ::Boolean
Returns
-
(::Boolean) — Optional. If set to
true
, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. "f***". If set tofalse
or omitted, profanities won't be filtered out.
#filter_profanity=
def filter_profanity=(value) -> ::Boolean
Parameter
-
value (::Boolean) — Optional. If set to
true
, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. "f***". If set tofalse
or omitted, profanities won't be filtered out.
Returns
-
(::Boolean) — Optional. If set to
true
, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. "f***". If set tofalse
or omitted, profanities won't be filtered out.
#language_code
def language_code() -> ::String
Returns
- (::String) — Required. Required The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
#language_code=
def language_code=(value) -> ::String
Parameter
- value (::String) — Required. Required The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
Returns
- (::String) — Required. Required The language of the supplied audio as a BCP-47 language tag. Example: "en-US". See Language Support for a list of the currently supported language codes.
#max_alternatives
def max_alternatives() -> ::Integer
Returns
-
(::Integer) — Optional. Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of
SpeechRecognitionAlternative
messages within eachSpeechTranscription
. The server may return fewer thanmax_alternatives
. Valid values are0
-30
. A value of0
or1
will return a maximum of one. If omitted, will return a maximum of one.
#max_alternatives=
def max_alternatives=(value) -> ::Integer
Parameter
-
value (::Integer) — Optional. Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of
SpeechRecognitionAlternative
messages within eachSpeechTranscription
. The server may return fewer thanmax_alternatives
. Valid values are0
-30
. A value of0
or1
will return a maximum of one. If omitted, will return a maximum of one.
Returns
-
(::Integer) — Optional. Maximum number of recognition hypotheses to be returned.
Specifically, the maximum number of
SpeechRecognitionAlternative
messages within eachSpeechTranscription
. The server may return fewer thanmax_alternatives
. Valid values are0
-30
. A value of0
or1
will return a maximum of one. If omitted, will return a maximum of one.
#speech_contexts
def speech_contexts() -> ::Array<::Google::Cloud::VideoIntelligence::V1::SpeechContext>
Returns
- (::Array<::Google::Cloud::VideoIntelligence::V1::SpeechContext>) — Optional. A means to provide context to assist the speech recognition.
#speech_contexts=
def speech_contexts=(value) -> ::Array<::Google::Cloud::VideoIntelligence::V1::SpeechContext>
Parameter
- value (::Array<::Google::Cloud::VideoIntelligence::V1::SpeechContext>) — Optional. A means to provide context to assist the speech recognition.
Returns
- (::Array<::Google::Cloud::VideoIntelligence::V1::SpeechContext>) — Optional. A means to provide context to assist the speech recognition.