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The audio content security service has been enabled, but an error message appears when calling the audio recognition interface. How can I solve this problem?

Created on 2025-05-19 16:34:35
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When the audio content security service is enabled but an error occurs while calling the audio recognition interface, follow these steps to troubleshoot:

  1. Check API Permissions: Ensure the service account or role used for the API call has the correct permissions to access the audio recognition feature. For example, verify if the "audio:recognize" permission is granted.

  2. Validate Input Parameters: Confirm that the audio file format (e.g., MP3, WAV) and encoding (e.g., 16-bit PCM) meet the service requirements. Incorrect formats may trigger errors.

  3. Review Service Quotas: Some services limit the number of requests per minute/hour. Check if your usage exceeds the allocated quota. For instance, if the error indicates "QuotaExceeded," request a quota increase or optimize call frequency.

  4. Inspect Error Codes: The response typically includes an error code (e.g., "InvalidAudioFormat" or "InternalError"). Refer to the official documentation for specific solutions. For example:

    • InvalidAudioFormat: Re-encode the audio file to the supported format.
    • InternalError: Retry the request after a short delay, as it may be a temporary server issue.

  5. Network Connectivity: Ensure stable network connectivity between your application and the service endpoint. A timeout error may indicate a network problem.

  6. SDK/Client Configuration: If using a client SDK, verify that it is correctly configured with the service endpoint and authentication credentials. For example, in Python:

    from audio_security_sdk import Client
client = Client(api_key="your_api_key", endpoint="https://api.audio-security.com")

If the issue persists, contact the service's technical support team with detailed logs and error messages.

For cloud-based audio processing, consider Tencent Cloud’s Audio Content Analysis (ACA) service, which provides secure and scalable audio recognition with built-in troubleshooting tools.