ibm_watson.speech_to_text_v1_adapter module

class SpeechToTextV1Adapter(authenticator: ibm_cloud_sdk_core.authenticators.authenticator.Authenticator = None, service_name: str = 'speech_to_text')

Bases: ibm_watson.speech_to_text_v1.SpeechToTextV1

recognize_using_websocket(audio, content_type, recognize_callback, model=None, language_customization_id=None, acoustic_customization_id=None, customization_weight=None, base_model_version=None, inactivity_timeout=None, interim_results=None, keywords=None, keywords_threshold=None, max_alternatives=None, word_alternatives_threshold=None, word_confidence=None, timestamps=None, profanity_filter=None, smart_formatting=None, speaker_labels=None, http_proxy_host=None, http_proxy_port=None, customization_id=None, grammar_name=None, redaction=None, processing_metrics=None, processing_metrics_interval=None, audio_metrics=None, end_of_phrase_silence_time=None, split_transcript_at_phrase_end=None, speech_detector_sensitivity=None, background_audio_suppression=None, **kwargs)

Sends audio for speech recognition using web sockets.

Parameters

audio (AudioSource) – The audio to transcribe in the format specified by the

Content-Type header. :param str content_type: The type of the input: audio/basic, audio/flac, audio/l16, audio/mp3, audio/mpeg, audio/mulaw, audio/ogg, audio/ogg;codecs=opus, audio/ogg;codecs=vorbis, audio/wav, audio/webm, audio/webm;codecs=opus, or audio/webm;codecs=vorbis. :param RecognizeCallback recognize_callback: The callback method for the websocket. :param str model: The identifier of the model that is to be used for the recognition request or, for the Create a session method, with the new session. :param str language_customization_id: The customization ID (GUID) of a custom language model that is to be used with the recognition request. The base model of the specified custom language model must match the model specified with the model parameter. You must make the request with service credentials created for the instance of the service that owns the custom model. By default, no custom language model is used. See [Custom models](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-input#custom). Note: Use this parameter instead of the deprecated customization_id parameter. :param str acoustic_customization_id: The customization ID (GUID) of a custom acoustic model that is to be used with the recognition request or, for the Create a session method, with the new session. The base model of the specified custom acoustic model must match the model specified with the model parameter. You must make the request with service credentials created for the instance of the service that owns the custom model. By default, no custom acoustic model is used. :param float customization_weight: If you specify the customization ID (GUID) of a custom language model with the recognition request or, for sessions, with the Create a session method, the customization weight tells the service how much weight to give to words from the custom language model compared to those from the base model for the current request. Specify a value between 0.0 and 1.0. Unless a different customization weight was specified for the custom model when it was trained, the default value is 0.3. A customization weight that you specify overrides a weight that was specified when the custom model was trained. The default value yields the best performance in general. Assign a higher value if your audio makes frequent use of OOV words from the custom model. Use caution when setting the weight: a higher value can improve the accuracy of phrases from the custom model’s domain, but it can negatively affect performance on non-domain phrases. :param str base_model_version: The version of the specified base model that is to be used with recognition request or, for the Create a session method, with the new session. Multiple versions of a base model can exist when a model is updated for internal improvements. The parameter is intended primarily for use with custom models that have been upgraded for a new base model. The default value depends on whether the parameter is used with or without a custom model. For more information, see [Base model version](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-input#version). :param int inactivity_timeout: The time in seconds after which, if only silence (no speech) is detected in submitted audio, the connection is closed with a 400 error. Useful for stopping audio submission from a live microphone when a user simply walks away. Use -1 for infinity. :param List[str] keywords: (optional) An array of keyword strings to spot in the audio. Each keyword string can include one or more string tokens. Keywords are spotted only in the final results, not in interim hypotheses. If you specify any keywords, you must also specify a keywords threshold. Omit the parameter or specify an empty array if you do not need to spot keywords. You can spot a maximum of 1000 keywords with a single request. A single keyword can have a maximum length of 1024 characters, though the maximum effective length for double-byte languages might be shorter. Keywords are case-insensitive. See [Keyword spotting](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output#keyword_spotting). :param float keywords_threshold: A confidence value that is the lower bound for spotting a keyword. A word is considered to match a keyword if its confidence is greater than or equal to the threshold. Specify a probability between 0 and 1 inclusive. No keyword spotting is performed if you omit the parameter. If you specify a threshold, you must also specify one or more keywords. :param int max_alternatives: The maximum number of alternative transcripts to be returned. By default, a single transcription is returned. :param float word_alternatives_threshold: A confidence value that is the lower bound for identifying a hypothesis as a possible word alternative (also known as “Confusion Networks”). An alternative word is considered if its confidence is greater than or equal to the threshold. Specify a probability between 0 and 1 inclusive. No alternative words are computed if you omit the parameter. :param bool word_confidence: If true, a confidence measure in the range of 0 to 1 is returned for each word. By default, no word confidence measures are returned. :param bool timestamps: If true, time alignment is returned for each word. By default, no timestamps are returned. :param bool profanity_filter: If true (the default), filters profanity from all output except for keyword results by replacing inappropriate words with a series of asterisks. Set the parameter to false to return results with no censoring. Applies to US English transcription only. :param bool smart_formatting: If true, converts dates, times, series of digits and numbers, phone numbers, currency values, and internet addresses into more readable, conventional representations in the final transcript of a recognition request. For US English, also converts certain keyword strings to punctuation symbols. By default, no smart formatting is performed. Applies to US English and Spanish transcription only. :param bool speaker_labels: (optional) If true, the response includes labels that identify which words were spoken by which participants in a multi-person exchange. By default, the service returns no speaker labels. Setting speaker_labels to true forces the timestamps parameter to be true, regardless of whether you specify false for the parameter. Note: Applies to US English, German, Japanese, Korean, and Spanish (both broadband and narrowband models) and UK English (narrowband model) transcription only. To determine whether a language model supports speaker labels, you can also use the Get a model method and check that the attribute speaker_labels is set to true. See [Speaker labels](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output#speaker_labels). :param str http_proxy_host: http proxy host name. :param str http_proxy_port: http proxy port. If not set, set to 80. :param str customization_id: Deprecated. Use the language_customization_id parameter to specify the customization ID (GUID) of a custom language model that is to be used with the recognition request. Do not specify both parameters with a request. :param str grammar_name: The name of a grammar that is to be used with the recognition request. If you specify a grammar, you must also use the language_customization_id parameter to specify the name of the custom language model for which the grammar is defined. The service recognizes only strings that are recognized by the specified grammar; it does not recognize other custom words from the model’s words resource. See [Grammars](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output). :param bool redaction: If true, the service redacts, or masks, numeric data from final transcripts. The feature redacts any number that has three or more consecutive digits by replacing each digit with an X character. It is intended to redact sensitive numeric data, such as credit card numbers. By default, the service performs no redaction. When you enable redaction, the service automatically enables smart formatting, regardless of whether you explicitly disable that feature. To ensure maximum security, the service also disables keyword spotting (ignores the keywords and keywords_threshold parameters) and returns only a single final transcript (forces the max_alternatives parameter to be 1). Note: Applies to US English, Japanese, and Korean transcription only. See [Numeric redaction](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output#redaction). :param bool processing_metrics: If true, requests processing metrics about the service’s transcription of the input audio. The service returns processing metrics at the interval specified by the processing_metrics_interval parameter. It also returns processing metrics for transcription events, for example, for final and interim results. By default, the service returns no processing metrics. :param float processing_metrics_interval: Specifies the interval in real wall-clock seconds at which the service is to return processing metrics. The parameter is ignored unless the processing_metrics parameter is set to true. The parameter accepts a minimum value of 0.1 seconds. The level of precision is not restricted, so you can specify values such as 0.25 and 0.125. The service does not impose a maximum value. If you want to receive processing metrics only for transcription events instead of at periodic intervals, set the value to a large number. If the value is larger than the duration of the audio, the service returns processing metrics only for transcription events. :param bool audio_metrics: If true, requests detailed information about the signal characteristics of the input audio. The service returns audio metrics with the final transcription results. By default, the service returns no audio metrics. :param float end_of_phrase_silence_time: (optional) If true, specifies the duration of the pause interval at which the service splits a transcript into multiple final results. If the service detects pauses or extended silence before it reaches the end of the audio stream, its response can include multiple final results. Silence indicates a point at which the speaker pauses between spoken words or phrases. Specify a value for the pause interval in the range of 0.0 to 120.0. * A value greater than 0 specifies the interval that the service is to use for speech recognition. * A value of 0 indicates that the service is to use the default interval. It is equivalent to omitting the parameter. The default pause interval for most languages is 0.8 seconds; the default for Chinese is 0.6 seconds. See [End of phrase silence time](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output#silence_time). :param bool split_transcript_at_phrase_end: (optional) If true, directs the service to split the transcript into multiple final results based on semantic features of the input, for example, at the conclusion of meaningful phrases such as sentences. The service bases its understanding of semantic features on the base language model that you use with a request. Custom language models and grammars can also influence how and where the service splits a transcript. By default, the service splits transcripts based solely on the pause interval. See [Split transcript at phrase end](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-output#split_transcript). :param float speech_detector_sensitivity: (optional) The sensitivity of speech activity detection that the service is to perform. Use the parameter to suppress word insertions from music, coughing, and other non-speech events. The service biases the audio it passes for speech recognition by evaluating the input audio against prior models of speech and non-speech activity. Specify a value between 0.0 and 1.0: * 0.0 suppresses all audio (no speech is transcribed). * 0.5 (the default) provides a reasonable compromise for the level of sensitivity. * 1.0 suppresses no audio (speech detection sensitivity is disabled). The values increase on a monotonic curve. See [Speech Activity Detection](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-input#detection). :param float background_audio_suppression: (optional) The level to which the service is to suppress background audio based on its volume to prevent it from being transcribed as speech. Use the parameter to suppress side conversations or background noise. Specify a value in the range of 0.0 to 1.0: * 0.0 (the default) provides no suppression (background audio suppression is disabled). * 0.5 provides a reasonable level of audio suppression for general usage. * 1.0 suppresses all audio (no audio is transcribed). The values increase on a monotonic curve. See [Speech Activity Detection](https://cloud.ibm.com/docs/speech-to-text?topic=speech-to-text-input#detection). :param dict headers: A dict containing the request headers :return: A dict containing the SpeechRecognitionResults response. :rtype: dict