synapse.ml.cognitive.speech package

Submodules

synapse.ml.cognitive.speech.ConversationTranscription module

class synapse.ml.cognitive.speech.ConversationTranscription.ConversationTranscription(java_obj=None, audioDataCol=None, endpointId=None, extraFfmpegArgs=[], fileType=None, fileTypeCol=None, format=None, formatCol=None, language=None, languageCol=None, outputCol=None, participantsJson=None, participantsJsonCol=None, profanity=None, profanityCol=None, recordAudioData=False, recordedFileNameCol=None, streamIntermediateResults=True, subscriptionKey=None, subscriptionKeyCol=None, url=None, wordLevelTimestamps=None, wordLevelTimestampsCol=None)[source]

Bases: synapse.ml.core.schema.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaTransformer

Parameters
  • audioDataCol (str) – Column holding audio data, must be either ByteArrays or Strings representing file URIs

  • endpointId (str) – endpoint for custom speech models

  • extraFfmpegArgs (list) – extra arguments to for ffmpeg output decoding

  • fileType (object) – The file type of the sound files, supported types: wav, ogg, mp3

  • format (object) – Specifies the result format. Accepted values are simple and detailed. Default is simple.

  • language (object) – Identifies the spoken language that is being recognized.

  • outputCol (str) – The name of the output column

  • participantsJson (object) – a json representation of a list of conversation participants (email, language, user)

  • profanity (object) – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

  • recordAudioData (bool) – Whether to record audio data to a file location, for use only with m3u8 streams

  • recordedFileNameCol (str) – Column holding file names to write audio data to if ``recordAudioData’’ is set to true

  • streamIntermediateResults (bool) – Whether or not to immediately return itermediate results, or group in a sequence

  • subscriptionKey (object) – the API key to use

  • url (str) – Url of the service

  • wordLevelTimestamps (object) – Whether to request timestamps foe each indivdual word

audioDataCol = Param(parent='undefined', name='audioDataCol', doc='Column holding audio data, must be either ByteArrays or Strings representing file URIs')
endpointId = Param(parent='undefined', name='endpointId', doc='endpoint for custom speech models')
extraFfmpegArgs = Param(parent='undefined', name='extraFfmpegArgs', doc='extra arguments to for ffmpeg output decoding')
fileType = Param(parent='undefined', name='fileType', doc='ServiceParam: The file type of the sound files, supported types: wav, ogg, mp3')
format = Param(parent='undefined', name='format', doc='ServiceParam:  Specifies the result format. Accepted values are simple and detailed. Default is simple.     ')
getAudioDataCol()[source]
Returns

Column holding audio data, must be either ByteArrays or Strings representing file URIs

Return type

audioDataCol

getEndpointId()[source]
Returns

endpoint for custom speech models

Return type

endpointId

getExtraFfmpegArgs()[source]
Returns

extra arguments to for ffmpeg output decoding

Return type

extraFfmpegArgs

getFileType()[source]
Returns

The file type of the sound files, supported types: wav, ogg, mp3

Return type

fileType

getFormat()[source]
Returns

Specifies the result format. Accepted values are simple and detailed. Default is simple.

Return type

format

static getJavaPackage()[source]

Returns package name String.

getLanguage()[source]
Returns

Identifies the spoken language that is being recognized.

Return type

language

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getParticipantsJson()[source]
Returns

a json representation of a list of conversation participants (email, language, user)

Return type

participantsJson

getProfanity()[source]
Returns

Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

Return type

profanity

getRecordAudioData()[source]
Returns

Whether to record audio data to a file location, for use only with m3u8 streams

Return type

recordAudioData

getRecordedFileNameCol()[source]
Returns

Column holding file names to write audio data to if ``recordAudioData’’ is set to true

Return type

recordedFileNameCol

getStreamIntermediateResults()[source]
Returns

Whether or not to immediately return itermediate results, or group in a sequence

Return type

streamIntermediateResults

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getUrl()[source]
Returns

Url of the service

Return type

url

getWordLevelTimestamps()[source]
Returns

Whether to request timestamps foe each indivdual word

Return type

wordLevelTimestamps

language = Param(parent='undefined', name='language', doc='ServiceParam:  Identifies the spoken language that is being recognized.     ')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
participantsJson = Param(parent='undefined', name='participantsJson', doc='ServiceParam: a json representation of a list of conversation participants (email, language, user)')
profanity = Param(parent='undefined', name='profanity', doc='ServiceParam:  Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.     ')
classmethod read()[source]

Returns an MLReader instance for this class.

recordAudioData = Param(parent='undefined', name='recordAudioData', doc='Whether to record audio data to a file location, for use only with m3u8 streams')
recordedFileNameCol = Param(parent='undefined', name='recordedFileNameCol', doc="Column holding file names to write audio data to if ``recordAudioData'' is set to true")
setAudioDataCol(value)[source]
Parameters

audioDataCol – Column holding audio data, must be either ByteArrays or Strings representing file URIs

setEndpointId(value)[source]
Parameters

endpointId – endpoint for custom speech models

setExtraFfmpegArgs(value)[source]
Parameters

extraFfmpegArgs – extra arguments to for ffmpeg output decoding

setFileType(value)[source]
Parameters

fileType – The file type of the sound files, supported types: wav, ogg, mp3

setFileTypeCol(value)[source]
Parameters

fileType – The file type of the sound files, supported types: wav, ogg, mp3

setFormat(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setFormatCol(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setLanguage(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLanguageCol(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(audioDataCol=None, endpointId=None, extraFfmpegArgs=[], fileType=None, fileTypeCol=None, format=None, formatCol=None, language=None, languageCol=None, outputCol=None, participantsJson=None, participantsJsonCol=None, profanity=None, profanityCol=None, recordAudioData=False, recordedFileNameCol=None, streamIntermediateResults=True, subscriptionKey=None, subscriptionKeyCol=None, url=None, wordLevelTimestamps=None, wordLevelTimestampsCol=None)[source]

Set the (keyword only) parameters

setParticipantsJson(value)[source]
Parameters

participantsJson – a json representation of a list of conversation participants (email, language, user)

setParticipantsJsonCol(value)[source]
Parameters

participantsJson – a json representation of a list of conversation participants (email, language, user)

setProfanity(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setProfanityCol(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setRecordAudioData(value)[source]
Parameters

recordAudioData – Whether to record audio data to a file location, for use only with m3u8 streams

setRecordedFileNameCol(value)[source]
Parameters

recordedFileNameCol – Column holding file names to write audio data to if ``recordAudioData’’ is set to true

setStreamIntermediateResults(value)[source]
Parameters

streamIntermediateResults – Whether or not to immediately return itermediate results, or group in a sequence

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setUrl(value)[source]
Parameters

url – Url of the service

setWordLevelTimestamps(value)[source]
Parameters

wordLevelTimestamps – Whether to request timestamps foe each indivdual word

setWordLevelTimestampsCol(value)[source]
Parameters

wordLevelTimestamps – Whether to request timestamps foe each indivdual word

streamIntermediateResults = Param(parent='undefined', name='streamIntermediateResults', doc='Whether or not to immediately return itermediate results, or group in a sequence')
subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
url = Param(parent='undefined', name='url', doc='Url of the service')
wordLevelTimestamps = Param(parent='undefined', name='wordLevelTimestamps', doc='ServiceParam: Whether to request timestamps foe each indivdual word')

synapse.ml.cognitive.speech.SpeakerEmotionInference module

class synapse.ml.cognitive.speech.SpeakerEmotionInference.SpeakerEmotionInference(java_obj=None, AADToken=None, AADTokenCol=None, concurrency=1, concurrentTimeout=None, errorCol='SpeakerEmotionInference_af6f6a1b47df_error', handler=None, locale=None, localeCol=None, outputCol='SpeakerEmotionInference_af6f6a1b47df_output', subscriptionKey=None, subscriptionKeyCol=None, text=None, textCol=None, timeout=60.0, url=None, voiceName=None, voiceNameCol=None)[source]

Bases: synapse.ml.core.schema.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaTransformer

Parameters
  • AADToken (object) – AAD Token used for authentication

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • handler (object) – Which strategy to use when handling requests

  • locale (object) – The locale of the input text

  • outputCol (str) – The name of the output column

  • subscriptionKey (object) – the API key to use

  • text (object) – The text to annotate with inferred emotion

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

  • voiceName (object) – The name of the voice used for synthesis

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getLocale()[source]
Returns

The locale of the input text

Return type

locale

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getText()[source]
Returns

The text to annotate with inferred emotion

Return type

text

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

getVoiceName()[source]
Returns

The name of the voice used for synthesis

Return type

voiceName

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
locale = Param(parent='undefined', name='locale', doc='ServiceParam: The locale of the input text')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLocale(value)[source]
Parameters

locale – The locale of the input text

setLocaleCol(value)[source]
Parameters

locale – The locale of the input text

setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, concurrency=1, concurrentTimeout=None, errorCol='SpeakerEmotionInference_af6f6a1b47df_error', handler=None, locale=None, localeCol=None, outputCol='SpeakerEmotionInference_af6f6a1b47df_output', subscriptionKey=None, subscriptionKeyCol=None, text=None, textCol=None, timeout=60.0, url=None, voiceName=None, voiceNameCol=None)[source]

Set the (keyword only) parameters

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setText(value)[source]
Parameters

text – The text to annotate with inferred emotion

setTextCol(value)[source]
Parameters

text – The text to annotate with inferred emotion

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

setVoiceName(value)[source]
Parameters

voiceName – The name of the voice used for synthesis

setVoiceNameCol(value)[source]
Parameters

voiceName – The name of the voice used for synthesis

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
text = Param(parent='undefined', name='text', doc='ServiceParam: The text to annotate with inferred emotion')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')
voiceName = Param(parent='undefined', name='voiceName', doc='ServiceParam: The name of the voice used for synthesis')

synapse.ml.cognitive.speech.SpeechToText module

class synapse.ml.cognitive.speech.SpeechToText.SpeechToText(java_obj=None, AADToken=None, AADTokenCol=None, audioData=None, audioDataCol=None, concurrency=1, concurrentTimeout=None, errorCol='SpeechToText_f28752ec3c9d_error', format=None, formatCol=None, handler=None, language=None, languageCol=None, outputCol='SpeechToText_f28752ec3c9d_output', profanity=None, profanityCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Bases: synapse.ml.core.schema.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaTransformer

Parameters
  • AADToken (object) – AAD Token used for authentication

  • audioData (object) – The data sent to the service must be a .wav files

  • concurrency (int) – max number of concurrent calls

  • concurrentTimeout (float) – max number seconds to wait on futures if concurrency >= 1

  • errorCol (str) – column to hold http errors

  • format (object) – Specifies the result format. Accepted values are simple and detailed. Default is simple.

  • handler (object) – Which strategy to use when handling requests

  • language (object) – Identifies the spoken language that is being recognized.

  • outputCol (str) – The name of the output column

  • profanity (object) – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

  • subscriptionKey (object) – the API key to use

  • timeout (float) – number of seconds to wait before closing the connection

  • url (str) – Url of the service

AADToken = Param(parent='undefined', name='AADToken', doc='ServiceParam: AAD Token used for authentication')
audioData = Param(parent='undefined', name='audioData', doc='ServiceParam:  The data sent to the service must be a .wav files     ')
concurrency = Param(parent='undefined', name='concurrency', doc='max number of concurrent calls')
concurrentTimeout = Param(parent='undefined', name='concurrentTimeout', doc='max number seconds to wait on futures if concurrency >= 1')
errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
format = Param(parent='undefined', name='format', doc='ServiceParam:  Specifies the result format. Accepted values are simple and detailed. Default is simple.     ')
getAADToken()[source]
Returns

AAD Token used for authentication

Return type

AADToken

getAudioData()[source]
Returns

The data sent to the service must be a .wav files

Return type

audioData

getConcurrency()[source]
Returns

max number of concurrent calls

Return type

concurrency

getConcurrentTimeout()[source]
Returns

max number seconds to wait on futures if concurrency >= 1

Return type

concurrentTimeout

getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

getFormat()[source]
Returns

Specifies the result format. Accepted values are simple and detailed. Default is simple.

Return type

format

getHandler()[source]
Returns

Which strategy to use when handling requests

Return type

handler

static getJavaPackage()[source]

Returns package name String.

getLanguage()[source]
Returns

Identifies the spoken language that is being recognized.

Return type

language

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getProfanity()[source]
Returns

Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

Return type

profanity

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getTimeout()[source]
Returns

number of seconds to wait before closing the connection

Return type

timeout

getUrl()[source]
Returns

Url of the service

Return type

url

handler = Param(parent='undefined', name='handler', doc='Which strategy to use when handling requests')
language = Param(parent='undefined', name='language', doc='ServiceParam:  Identifies the spoken language that is being recognized.     ')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
profanity = Param(parent='undefined', name='profanity', doc='ServiceParam:  Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.     ')
classmethod read()[source]

Returns an MLReader instance for this class.

setAADToken(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAADTokenCol(value)[source]
Parameters

AADToken – AAD Token used for authentication

setAudioData(value)[source]
Parameters

audioData – The data sent to the service must be a .wav files

setAudioDataCol(value)[source]
Parameters

audioData – The data sent to the service must be a .wav files

setConcurrency(value)[source]
Parameters

concurrency – max number of concurrent calls

setConcurrentTimeout(value)[source]
Parameters

concurrentTimeout – max number seconds to wait on futures if concurrency >= 1

setCustomServiceName(value)[source]
setDefaultInternalEndpoint(value)[source]
setEndpoint(value)[source]
setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setFormat(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setFormatCol(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setHandler(value)[source]
Parameters

handler – Which strategy to use when handling requests

setLanguage(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLanguageCol(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(AADToken=None, AADTokenCol=None, audioData=None, audioDataCol=None, concurrency=1, concurrentTimeout=None, errorCol='SpeechToText_f28752ec3c9d_error', format=None, formatCol=None, handler=None, language=None, languageCol=None, outputCol='SpeechToText_f28752ec3c9d_output', profanity=None, profanityCol=None, subscriptionKey=None, subscriptionKeyCol=None, timeout=60.0, url=None)[source]

Set the (keyword only) parameters

setProfanity(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setProfanityCol(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setTimeout(value)[source]
Parameters

timeout – number of seconds to wait before closing the connection

setUrl(value)[source]
Parameters

url – Url of the service

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
timeout = Param(parent='undefined', name='timeout', doc='number of seconds to wait before closing the connection')
url = Param(parent='undefined', name='url', doc='Url of the service')

synapse.ml.cognitive.speech.SpeechToTextSDK module

class synapse.ml.cognitive.speech.SpeechToTextSDK.SpeechToTextSDK(java_obj=None, audioDataCol=None, endpointId=None, extraFfmpegArgs=[], fileType=None, fileTypeCol=None, format=None, formatCol=None, language=None, languageCol=None, outputCol=None, participantsJson=None, participantsJsonCol=None, profanity=None, profanityCol=None, recordAudioData=False, recordedFileNameCol=None, streamIntermediateResults=True, subscriptionKey=None, subscriptionKeyCol=None, url=None, wordLevelTimestamps=None, wordLevelTimestampsCol=None)[source]

Bases: synapse.ml.core.schema.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaTransformer

Parameters
  • audioDataCol (str) – Column holding audio data, must be either ByteArrays or Strings representing file URIs

  • endpointId (str) – endpoint for custom speech models

  • extraFfmpegArgs (list) – extra arguments to for ffmpeg output decoding

  • fileType (object) – The file type of the sound files, supported types: wav, ogg, mp3

  • format (object) – Specifies the result format. Accepted values are simple and detailed. Default is simple.

  • language (object) – Identifies the spoken language that is being recognized.

  • outputCol (str) – The name of the output column

  • participantsJson (object) – a json representation of a list of conversation participants (email, language, user)

  • profanity (object) – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

  • recordAudioData (bool) – Whether to record audio data to a file location, for use only with m3u8 streams

  • recordedFileNameCol (str) – Column holding file names to write audio data to if ``recordAudioData’’ is set to true

  • streamIntermediateResults (bool) – Whether or not to immediately return itermediate results, or group in a sequence

  • subscriptionKey (object) – the API key to use

  • url (str) – Url of the service

  • wordLevelTimestamps (object) – Whether to request timestamps foe each indivdual word

audioDataCol = Param(parent='undefined', name='audioDataCol', doc='Column holding audio data, must be either ByteArrays or Strings representing file URIs')
endpointId = Param(parent='undefined', name='endpointId', doc='endpoint for custom speech models')
extraFfmpegArgs = Param(parent='undefined', name='extraFfmpegArgs', doc='extra arguments to for ffmpeg output decoding')
fileType = Param(parent='undefined', name='fileType', doc='ServiceParam: The file type of the sound files, supported types: wav, ogg, mp3')
format = Param(parent='undefined', name='format', doc='ServiceParam:  Specifies the result format. Accepted values are simple and detailed. Default is simple.     ')
getAudioDataCol()[source]
Returns

Column holding audio data, must be either ByteArrays or Strings representing file URIs

Return type

audioDataCol

getEndpointId()[source]
Returns

endpoint for custom speech models

Return type

endpointId

getExtraFfmpegArgs()[source]
Returns

extra arguments to for ffmpeg output decoding

Return type

extraFfmpegArgs

getFileType()[source]
Returns

The file type of the sound files, supported types: wav, ogg, mp3

Return type

fileType

getFormat()[source]
Returns

Specifies the result format. Accepted values are simple and detailed. Default is simple.

Return type

format

static getJavaPackage()[source]

Returns package name String.

getLanguage()[source]
Returns

Identifies the spoken language that is being recognized.

Return type

language

getOutputCol()[source]
Returns

The name of the output column

Return type

outputCol

getParticipantsJson()[source]
Returns

a json representation of a list of conversation participants (email, language, user)

Return type

participantsJson

getProfanity()[source]
Returns

Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

Return type

profanity

getRecordAudioData()[source]
Returns

Whether to record audio data to a file location, for use only with m3u8 streams

Return type

recordAudioData

getRecordedFileNameCol()[source]
Returns

Column holding file names to write audio data to if ``recordAudioData’’ is set to true

Return type

recordedFileNameCol

getStreamIntermediateResults()[source]
Returns

Whether or not to immediately return itermediate results, or group in a sequence

Return type

streamIntermediateResults

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getUrl()[source]
Returns

Url of the service

Return type

url

getWordLevelTimestamps()[source]
Returns

Whether to request timestamps foe each indivdual word

Return type

wordLevelTimestamps

language = Param(parent='undefined', name='language', doc='ServiceParam:  Identifies the spoken language that is being recognized.     ')
outputCol = Param(parent='undefined', name='outputCol', doc='The name of the output column')
participantsJson = Param(parent='undefined', name='participantsJson', doc='ServiceParam: a json representation of a list of conversation participants (email, language, user)')
profanity = Param(parent='undefined', name='profanity', doc='ServiceParam:  Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.     ')
classmethod read()[source]

Returns an MLReader instance for this class.

recordAudioData = Param(parent='undefined', name='recordAudioData', doc='Whether to record audio data to a file location, for use only with m3u8 streams')
recordedFileNameCol = Param(parent='undefined', name='recordedFileNameCol', doc="Column holding file names to write audio data to if ``recordAudioData'' is set to true")
setAudioDataCol(value)[source]
Parameters

audioDataCol – Column holding audio data, must be either ByteArrays or Strings representing file URIs

setEndpointId(value)[source]
Parameters

endpointId – endpoint for custom speech models

setExtraFfmpegArgs(value)[source]
Parameters

extraFfmpegArgs – extra arguments to for ffmpeg output decoding

setFileType(value)[source]
Parameters

fileType – The file type of the sound files, supported types: wav, ogg, mp3

setFileTypeCol(value)[source]
Parameters

fileType – The file type of the sound files, supported types: wav, ogg, mp3

setFormat(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setFormatCol(value)[source]
Parameters

format – Specifies the result format. Accepted values are simple and detailed. Default is simple.

setLanguage(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLanguageCol(value)[source]
Parameters

language – Identifies the spoken language that is being recognized.

setLinkedService(value)[source]
setLocation(value)[source]
setOutputCol(value)[source]
Parameters

outputCol – The name of the output column

setParams(audioDataCol=None, endpointId=None, extraFfmpegArgs=[], fileType=None, fileTypeCol=None, format=None, formatCol=None, language=None, languageCol=None, outputCol=None, participantsJson=None, participantsJsonCol=None, profanity=None, profanityCol=None, recordAudioData=False, recordedFileNameCol=None, streamIntermediateResults=True, subscriptionKey=None, subscriptionKeyCol=None, url=None, wordLevelTimestamps=None, wordLevelTimestampsCol=None)[source]

Set the (keyword only) parameters

setParticipantsJson(value)[source]
Parameters

participantsJson – a json representation of a list of conversation participants (email, language, user)

setParticipantsJsonCol(value)[source]
Parameters

participantsJson – a json representation of a list of conversation participants (email, language, user)

setProfanity(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setProfanityCol(value)[source]
Parameters

profanity – Specifies how to handle profanity in recognition results. Accepted values are masked, which replaces profanity with asterisks, removed, which remove all profanity from the result, or raw, which includes the profanity in the result. The default setting is masked.

setRecordAudioData(value)[source]
Parameters

recordAudioData – Whether to record audio data to a file location, for use only with m3u8 streams

setRecordedFileNameCol(value)[source]
Parameters

recordedFileNameCol – Column holding file names to write audio data to if ``recordAudioData’’ is set to true

setStreamIntermediateResults(value)[source]
Parameters

streamIntermediateResults – Whether or not to immediately return itermediate results, or group in a sequence

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setUrl(value)[source]
Parameters

url – Url of the service

setWordLevelTimestamps(value)[source]
Parameters

wordLevelTimestamps – Whether to request timestamps foe each indivdual word

setWordLevelTimestampsCol(value)[source]
Parameters

wordLevelTimestamps – Whether to request timestamps foe each indivdual word

streamIntermediateResults = Param(parent='undefined', name='streamIntermediateResults', doc='Whether or not to immediately return itermediate results, or group in a sequence')
subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
url = Param(parent='undefined', name='url', doc='Url of the service')
wordLevelTimestamps = Param(parent='undefined', name='wordLevelTimestamps', doc='ServiceParam: Whether to request timestamps foe each indivdual word')

synapse.ml.cognitive.speech.TextToSpeech module

class synapse.ml.cognitive.speech.TextToSpeech.TextToSpeech(java_obj=None, errorCol='TextToSpeech_0a949f6d2c61_errors', language=None, languageCol=None, locale=None, localeCol=None, outputFileCol=None, outputFormat=None, outputFormatCol=None, subscriptionKey=None, subscriptionKeyCol=None, text=None, textCol=None, url=None, useSSML=None, useSSMLCol=None, voiceName=None, voiceNameCol=None)[source]

Bases: synapse.ml.core.schema.Utils.ComplexParamsMixin, pyspark.ml.util.JavaMLReadable, pyspark.ml.util.JavaMLWritable, pyspark.ml.wrapper.JavaTransformer

Parameters
  • errorCol (str) – column to hold http errors

  • language (object) – The name of the language used for synthesis

  • locale (object) – The locale of the input text

  • outputFileCol (str) – The location of the saved file as an HDFS compliant URI

  • outputFormat (object) – The format for the output audio can be one of ArraySeq(Raw8Khz8BitMonoMULaw, Riff16Khz16KbpsMonoSiren, Audio16Khz16KbpsMonoSiren, Audio16Khz32KBitRateMonoMp3, Audio16Khz128KBitRateMonoMp3, Audio16Khz64KBitRateMonoMp3, Audio24Khz48KBitRateMonoMp3, Audio24Khz96KBitRateMonoMp3, Audio24Khz160KBitRateMonoMp3, Raw16Khz16BitMonoTrueSilk, Riff16Khz16BitMonoPcm, Riff8Khz16BitMonoPcm, Riff24Khz16BitMonoPcm, Riff8Khz8BitMonoMULaw, Raw16Khz16BitMonoPcm, Raw24Khz16BitMonoPcm, Raw8Khz16BitMonoPcm, Ogg16Khz16BitMonoOpus, Ogg24Khz16BitMonoOpus)

  • subscriptionKey (object) – the API key to use

  • text (object) – The text to synthesize

  • url (str) – Url of the service

  • useSSML (object) – whether to interpret the provided text input as SSML (Speech Synthesis Markup Language). The default value is false.

  • voiceName (object) – The name of the voice used for synthesis

errorCol = Param(parent='undefined', name='errorCol', doc='column to hold http errors')
getErrorCol()[source]
Returns

column to hold http errors

Return type

errorCol

static getJavaPackage()[source]

Returns package name String.

getLanguage()[source]
Returns

The name of the language used for synthesis

Return type

language

getLocale()[source]
Returns

The locale of the input text

Return type

locale

getOutputFileCol()[source]
Returns

The location of the saved file as an HDFS compliant URI

Return type

outputFileCol

getOutputFormat()[source]
Returns

The format for the output audio can be one of ArraySeq(Raw8Khz8BitMonoMULaw, Riff16Khz16KbpsMonoSiren, Audio16Khz16KbpsMonoSiren, Audio16Khz32KBitRateMonoMp3, Audio16Khz128KBitRateMonoMp3, Audio16Khz64KBitRateMonoMp3, Audio24Khz48KBitRateMonoMp3, Audio24Khz96KBitRateMonoMp3, Audio24Khz160KBitRateMonoMp3, Raw16Khz16BitMonoTrueSilk, Riff16Khz16BitMonoPcm, Riff8Khz16BitMonoPcm, Riff24Khz16BitMonoPcm, Riff8Khz8BitMonoMULaw, Raw16Khz16BitMonoPcm, Raw24Khz16BitMonoPcm, Raw8Khz16BitMonoPcm, Ogg16Khz16BitMonoOpus, Ogg24Khz16BitMonoOpus)

Return type

outputFormat

getSubscriptionKey()[source]
Returns

the API key to use

Return type

subscriptionKey

getText()[source]
Returns

The text to synthesize

Return type

text

getUrl()[source]
Returns

Url of the service

Return type

url

getUseSSML()[source]
Returns

whether to interpret the provided text input as SSML (Speech Synthesis Markup Language). The default value is false.

Return type

useSSML

getVoiceName()[source]
Returns

The name of the voice used for synthesis

Return type

voiceName

language = Param(parent='undefined', name='language', doc='ServiceParam: The name of the language used for synthesis')
locale = Param(parent='undefined', name='locale', doc='ServiceParam: The locale of the input text')
outputFileCol = Param(parent='undefined', name='outputFileCol', doc='The location of the saved file as an HDFS compliant URI')
outputFormat = Param(parent='undefined', name='outputFormat', doc='ServiceParam: The format for the output audio can be one of ArraySeq(Raw8Khz8BitMonoMULaw, Riff16Khz16KbpsMonoSiren, Audio16Khz16KbpsMonoSiren, Audio16Khz32KBitRateMonoMp3, Audio16Khz128KBitRateMonoMp3, Audio16Khz64KBitRateMonoMp3, Audio24Khz48KBitRateMonoMp3, Audio24Khz96KBitRateMonoMp3, Audio24Khz160KBitRateMonoMp3, Raw16Khz16BitMonoTrueSilk, Riff16Khz16BitMonoPcm, Riff8Khz16BitMonoPcm, Riff24Khz16BitMonoPcm, Riff8Khz8BitMonoMULaw, Raw16Khz16BitMonoPcm, Raw24Khz16BitMonoPcm, Raw8Khz16BitMonoPcm, Ogg16Khz16BitMonoOpus, Ogg24Khz16BitMonoOpus)')
classmethod read()[source]

Returns an MLReader instance for this class.

setErrorCol(value)[source]
Parameters

errorCol – column to hold http errors

setLanguage(value)[source]
Parameters

language – The name of the language used for synthesis

setLanguageCol(value)[source]
Parameters

language – The name of the language used for synthesis

setLinkedService(value)[source]
setLocale(value)[source]
Parameters

locale – The locale of the input text

setLocaleCol(value)[source]
Parameters

locale – The locale of the input text

setLocation(value)[source]
setOutputFileCol(value)[source]
Parameters

outputFileCol – The location of the saved file as an HDFS compliant URI

setOutputFormat(value)[source]
Parameters

outputFormat – The format for the output audio can be one of ArraySeq(Raw8Khz8BitMonoMULaw, Riff16Khz16KbpsMonoSiren, Audio16Khz16KbpsMonoSiren, Audio16Khz32KBitRateMonoMp3, Audio16Khz128KBitRateMonoMp3, Audio16Khz64KBitRateMonoMp3, Audio24Khz48KBitRateMonoMp3, Audio24Khz96KBitRateMonoMp3, Audio24Khz160KBitRateMonoMp3, Raw16Khz16BitMonoTrueSilk, Riff16Khz16BitMonoPcm, Riff8Khz16BitMonoPcm, Riff24Khz16BitMonoPcm, Riff8Khz8BitMonoMULaw, Raw16Khz16BitMonoPcm, Raw24Khz16BitMonoPcm, Raw8Khz16BitMonoPcm, Ogg16Khz16BitMonoOpus, Ogg24Khz16BitMonoOpus)

setOutputFormatCol(value)[source]
Parameters

outputFormat – The format for the output audio can be one of ArraySeq(Raw8Khz8BitMonoMULaw, Riff16Khz16KbpsMonoSiren, Audio16Khz16KbpsMonoSiren, Audio16Khz32KBitRateMonoMp3, Audio16Khz128KBitRateMonoMp3, Audio16Khz64KBitRateMonoMp3, Audio24Khz48KBitRateMonoMp3, Audio24Khz96KBitRateMonoMp3, Audio24Khz160KBitRateMonoMp3, Raw16Khz16BitMonoTrueSilk, Riff16Khz16BitMonoPcm, Riff8Khz16BitMonoPcm, Riff24Khz16BitMonoPcm, Riff8Khz8BitMonoMULaw, Raw16Khz16BitMonoPcm, Raw24Khz16BitMonoPcm, Raw8Khz16BitMonoPcm, Ogg16Khz16BitMonoOpus, Ogg24Khz16BitMonoOpus)

setParams(errorCol='TextToSpeech_0a949f6d2c61_errors', language=None, languageCol=None, locale=None, localeCol=None, outputFileCol=None, outputFormat=None, outputFormatCol=None, subscriptionKey=None, subscriptionKeyCol=None, text=None, textCol=None, url=None, useSSML=None, useSSMLCol=None, voiceName=None, voiceNameCol=None)[source]

Set the (keyword only) parameters

setSubscriptionKey(value)[source]
Parameters

subscriptionKey – the API key to use

setSubscriptionKeyCol(value)[source]
Parameters

subscriptionKey – the API key to use

setText(value)[source]
Parameters

text – The text to synthesize

setTextCol(value)[source]
Parameters

text – The text to synthesize

setUrl(value)[source]
Parameters

url – Url of the service

setUseSSML(value)[source]
Parameters

useSSML – whether to interpret the provided text input as SSML (Speech Synthesis Markup Language). The default value is false.

setUseSSMLCol(value)[source]
Parameters

useSSML – whether to interpret the provided text input as SSML (Speech Synthesis Markup Language). The default value is false.

setVoiceName(value)[source]
Parameters

voiceName – The name of the voice used for synthesis

setVoiceNameCol(value)[source]
Parameters

voiceName – The name of the voice used for synthesis

subscriptionKey = Param(parent='undefined', name='subscriptionKey', doc='ServiceParam: the API key to use')
text = Param(parent='undefined', name='text', doc='ServiceParam: The text to synthesize')
url = Param(parent='undefined', name='url', doc='Url of the service')
useSSML = Param(parent='undefined', name='useSSML', doc='ServiceParam: whether to interpret the provided text input as SSML (Speech Synthesis Markup Language). The default value is false.')
voiceName = Param(parent='undefined', name='voiceName', doc='ServiceParam: The name of the voice used for synthesis')

Module contents

SynapseML is an ecosystem of tools aimed towards expanding the distributed computing framework Apache Spark in several new directions. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with Microsoft Cognitive Toolkit (CNTK), LightGBM and OpenCV. These tools enable powerful and highly-scalable predictive and analytical models for a variety of datasources.

SynapseML also brings new networking capabilities to the Spark Ecosystem. With the HTTP on Spark project, users can embed any web service into their SparkML models. In this vein, SynapseML provides easy to use SparkML transformers for a wide variety of Microsoft Cognitive Services. For production grade deployment, the Spark Serving project enables high throughput, sub-millisecond latency web services, backed by your Spark cluster.

SynapseML requires Scala 2.12, Spark 3.0+, and Python 3.6+.