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What transmission methods and formats are supported for audio data of sentence recognition and recording file recognition?

For sentence recognition and recording file recognition, the supported transmission methods and formats typically include:

  1. Transmission Methods:

    • HTTP/HTTPS APIs: Audio data can be sent via RESTful APIs for real-time or batch processing.
    • WebSocket: Enables real-time, bidirectional communication for continuous audio streaming.
    • SDKs: Many platforms provide client SDKs (e.g., for Python, Java, or mobile platforms) to simplify integration.
  2. Supported Formats:

    • Common Audio Formats: WAV, MP3, AAC, FLAC, AMR, and M4A.
    • Encoding Requirements: Typically, 16-bit PCM encoding with a sample rate of 16kHz or 8kHz is preferred for speech recognition.

Example:
A user uploads a WAV file (16kHz, 16-bit PCM) to a recognition service via an HTTP API. The service processes the audio and returns the transcribed text.

For cloud-based solutions, Tencent Cloud's ASR (Automatic Speech Recognition) service supports these methods and formats, offering high accuracy and scalability for sentence and file recognition. It also provides SDKs and APIs for easy integration into applications.