SpeechRecognizer api issue

Nidoos Solutions 20 Reputation points
2025-06-25T12:09:44.5333333+00:00
  1. What is the correct way to implement audio sources to avoid the this.privAudioSource.id is not a function error in SpeechRecognizer and ConversationAPI ?
  2. Are there recommended configurations for improving multi-language conversation accuracy?
  3. Should we use different APIs for call center transcription scenarios?
Azure AI Speech
Azure AI Speech
An Azure service that integrates speech processing into apps and services.
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  1. Pavankumar Purilla 8,335 Reputation points Microsoft External Staff Moderator
    2025-06-26T02:31:30.25+00:00

    Hi Nidoos Solutions,
    To avoid the this.privAudioSource.id is not a function error when using the SpeechRecognizer or Conversation API, it is important to correctly create and pass the audio source using the SDK’s supported methods. This error typically occurs when an invalid or improperly constructed audio source is supplied. You should always use factory methods like AudioConfig.fromDefaultMicrophoneInput() for live microphone input, or AudioConfig.fromStreamInput() when using a custom audio stream. Avoid passing raw objects or incomplete audio source instances, as they will not provide the necessary functions expected by the SDK. For improving multi-language conversation accuracy, it is recommended to configure the SpeechRecognizer or ConversationTranslator with the correct speechRecognitionLanguage, or use the autoDetectSourceLanguages feature for dynamic multi-language detection. In scenarios where domain-specific terms are common such as in call centers using Custom Speech models trained on relevant vocabulary can significantly enhance recognition accuracy. For call center transcription specifically, while real-time APIs like SpeechRecognizer or Conversation API can handle live interactions, Azure Batch Transcription or Call Automation APIs are generally better suited. These are designed for longer recordings, support features like speaker diarization, and can provide more detailed and accurate transcriptions for telephony audio.

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