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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. Engineers use WaveNet to create natural-sounding speech in various applications, from virtual assistants to automated customer service systems.
When using Google WaveNet, you may encounter an error indicating that the audio file is too large. This symptom typically manifests as a failure to process the audio file, accompanied by an error message specifying that the file size exceeds the maximum allowed limit.
The error 'Audio File Too Large' occurs because Google WaveNet has a predefined limit on the size of audio files it can process. This limit is in place to ensure efficient processing and resource management. When an audio file exceeds this limit, WaveNet cannot handle it, resulting in an error.
WaveNet's file size limit is designed to balance performance and quality. Exceeding this limit can lead to processing delays or failures. For more details on file size restrictions, refer to the Google Cloud Text-to-Speech Quotas page.
To resolve the 'Audio File Too Large' error, you can either compress the audio file or split it into smaller parts. Here are the steps to do so:
For more information on audio compression, visit Audacity's official website.
By compressing or splitting your audio files, you can effectively manage file sizes and avoid the 'Audio File Too Large' error in Google WaveNet. These steps ensure that your application continues to deliver high-quality audio without interruption. For further assistance, consult the Google Cloud Text-to-Speech Documentation.
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