Updated agent-speech-processing.yaml
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@ -51,18 +51,18 @@ live_captions:
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speech_key:
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speech_auth_token:
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speech_region:
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# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set.
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# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set. E.g. ["en-US", "es-ES"]
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# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=stt#supported-languages
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languages:
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language:
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# Removes profanity (swearing), or replaces letters of profane words with stars. Valid values: Masked | Removed | Raw
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# See https://learn.microsoft.com/en-us/azure/ai-services/translator/profanity-filtering
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profanity:
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azure_openai:
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# Credentials for Azure OpenAI APIs. See https://learn.microsoft.com/en-us/azure/api-management/api-management-authenticate-authorize-azure-openai
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# Azure OpenAI API key. Mandatory value.
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# Azure OpenAI API key
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azure_api_key:
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# Azure Active Directory token. Mandatory value.
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# Azure Active Directory token
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azure_ad_token:
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# Azure OpenAI endpoint in the following format: https://{your-resource-name}.openai.azure.com. Mandatory value.
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azure_endpoint:
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@ -124,11 +124,13 @@ live_captions:
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openai:
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# API key for OpenAI. See https://platform.openai.com/api-keys
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api_key:
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# See https://platform.openai.com/docs/guides/speech-to-text
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# The OpenAI model to use for transcription. See https://platform.openai.com/docs/guides/speech-to-text
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model:
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# The language of the input audio. Supplying the input language in ISO-639-1 format
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# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
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language:
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# Optional text prompt to guide the transcription. Only supported for whisper-1.
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prompt:
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groq:
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# API key for Groq. See https://console.groq.com/keys
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@ -148,15 +150,19 @@ live_captions:
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model:
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# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.language
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language:
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# Whether to return interim (non-final) transcription results. Defaults to true
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# Whether to enable automatic language detection. Defaults to false. See https://developers.deepgram.com/docs/language-detection
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detect_language: false
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# Whether to return interim (non-final) transcription results. Defaults to true. See https://developers.deepgram.com/docs/interim-results
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interim_results: true
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# Whether to apply smart formatting to numbers, dates, etc. Defaults to true
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# Whether to apply smart formatting to numbers, dates, etc. Defaults to true. See https://developers.deepgram.com/docs/smart-format
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smart_format: true
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# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations
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# When smart_format is used, ensures it does not wait for sequence to be complete before returning results. Defaults to true. See https://developers.deepgram.com/docs/smart-format#using-no-delay
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no_delay: true
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# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations. See https://developers.deepgram.com/docs/punctuation
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punctuate: true
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# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true
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# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true. See https://developers.deepgram.com/docs/filler-words
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filler_words: true
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# Whether to filter profanity from the transcription. Defaults to false
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# Whether to filter profanity from the transcription. Defaults to false. See https://developers.deepgram.com/docs/profanity-filter
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profanity_filter: false
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# List of tuples containing keywords and their boost values for improved recognition. Each tuple should be (keyword: str, boost: float). Defaults to None. keywords does not work with Nova-3 models. Use keyterms instead.
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# keywords:
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@ -51,18 +51,18 @@ live_captions:
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speech_key:
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speech_auth_token:
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speech_region:
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# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set.
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# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set. E.g. ["en-US", "es-ES"]
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# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=stt#supported-languages
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languages:
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language:
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# Removes profanity (swearing), or replaces letters of profane words with stars. Valid values: Masked | Removed | Raw
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# See https://learn.microsoft.com/en-us/azure/ai-services/translator/profanity-filtering
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profanity:
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azure_openai:
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# Credentials for Azure OpenAI APIs. See https://learn.microsoft.com/en-us/azure/api-management/api-management-authenticate-authorize-azure-openai
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# Azure OpenAI API key. Mandatory value.
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# Azure OpenAI API key
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azure_api_key:
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# Azure Active Directory token. Mandatory value.
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# Azure Active Directory token
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azure_ad_token:
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# Azure OpenAI endpoint in the following format: https://{your-resource-name}.openai.azure.com. Mandatory value.
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azure_endpoint:
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@ -124,11 +124,13 @@ live_captions:
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openai:
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# API key for OpenAI. See https://platform.openai.com/api-keys
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api_key:
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# See https://platform.openai.com/docs/guides/speech-to-text
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# The OpenAI model to use for transcription. See https://platform.openai.com/docs/guides/speech-to-text
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model:
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# The language of the input audio. Supplying the input language in ISO-639-1 format
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# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
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language:
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# Optional text prompt to guide the transcription. Only supported for whisper-1.
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prompt:
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groq:
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# API key for Groq. See https://console.groq.com/keys
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@ -148,15 +150,19 @@ live_captions:
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model:
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# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.language
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language:
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# Whether to return interim (non-final) transcription results. Defaults to true
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# Whether to enable automatic language detection. Defaults to false. See https://developers.deepgram.com/docs/language-detection
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detect_language: false
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# Whether to return interim (non-final) transcription results. Defaults to true. See https://developers.deepgram.com/docs/interim-results
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interim_results: true
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# Whether to apply smart formatting to numbers, dates, etc. Defaults to true
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# Whether to apply smart formatting to numbers, dates, etc. Defaults to true. See https://developers.deepgram.com/docs/smart-format
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smart_format: true
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# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations
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# When smart_format is used, ensures it does not wait for sequence to be complete before returning results. Defaults to true. See https://developers.deepgram.com/docs/smart-format#using-no-delay
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no_delay: true
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# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations. See https://developers.deepgram.com/docs/punctuation
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punctuate: true
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# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true
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# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true. See https://developers.deepgram.com/docs/filler-words
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filler_words: true
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# Whether to filter profanity from the transcription. Defaults to false
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# Whether to filter profanity from the transcription. Defaults to false. See https://developers.deepgram.com/docs/profanity-filter
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profanity_filter: false
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# List of tuples containing keywords and their boost values for improved recognition. Each tuple should be (keyword: str, boost: float). Defaults to None. keywords does not work with Nova-3 models. Use keyterms instead.
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# keywords:
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