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Google WaveNet is a deep neural network for generating raw audio waveforms. It is part of Google's suite of Voice AI APIs, designed to provide high-quality text-to-speech capabilities. WaveNet can produce more natural-sounding speech by modeling the nuances of human voice, making it a popular choice for applications requiring advanced audio synthesis.
When using Google WaveNet, you might encounter an 'Audio Encoding Error'. This error typically manifests when the audio encoding format specified in your request is not supported or is incorrect. The error can prevent the successful generation of audio output, disrupting the functionality of your application.
Developers often notice this issue when the API returns an error message indicating an unsupported audio format. The application may fail to produce any audio output, or the output may be distorted or incomplete.
The root cause of the Audio Encoding Error is usually an incorrect or unsupported audio encoding format specified in the API request. Google WaveNet supports specific formats such as LINEAR16 and MP3. Using a format outside of these supported options will trigger the error.
For more details on supported formats, refer to the Google Cloud documentation.
To resolve this issue, follow these steps:
Ensure that the audio encoding format specified in your API request matches one of the supported formats. Check your request payload for the 'audioConfig' parameter and confirm the 'audioEncoding' value is correct.
{
"audioConfig": {
"audioEncoding": "LINEAR16"
}
}
If the format is incorrect, update your API request to use a supported format. For instance, if you intended to use MP3, modify the request as follows:
{
"audioConfig": {
"audioEncoding": "MP3"
}
}
After making the necessary changes, test your application to ensure the error is resolved and the audio output is generated correctly.
By ensuring that your audio encoding format is supported, you can effectively resolve the Audio Encoding Error in Google WaveNet. For further assistance, consult the Google Cloud Text-to-Speech documentation or reach out to Google Cloud support.
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