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Google WaveNet is a powerful text-to-speech (TTS) technology developed by DeepMind, a subsidiary of Google. It is designed to generate human-like speech from text input, making it an essential tool for applications requiring natural-sounding voice output. WaveNet is widely used in various applications, including virtual assistants, customer service bots, and accessibility tools.
When using Google WaveNet, you might encounter an error indicating that the specified language is unsupported. This issue typically arises when attempting to generate speech in a language not currently supported by the API. The error message may look something like this: Error: Unsupported Language
.
The root cause of this issue is straightforward: the language you have selected for text-to-speech conversion is not included in the list of languages supported by Google WaveNet. This can happen if you are trying to use a newly introduced language or a dialect that is not yet available in the API's language options.
To resolve this issue, you need to verify whether the language you intend to use is supported by Google WaveNet. You can find the list of supported languages in the Google Cloud Text-to-Speech documentation. This resource provides up-to-date information on all available languages and voices.
Follow these steps to address the unsupported language error:
Visit the Google Cloud Text-to-Speech Voices page to check if your desired language is supported. If it is not listed, you will need to choose an alternative language that is available.
Once you have identified a supported language, update your application code to use the correct language code. For example, if you initially used "fr-CA"
for Canadian French and it is unsupported, you might switch to "fr-FR"
for standard French.
{
"input": {
"text": "Hello, world!"
},
"voice": {
"languageCode": "fr-FR",
"name": "fr-FR-Wavenet-A"
},
"audioConfig": {
"audioEncoding": "MP3"
}
}
After making the necessary changes, test your application to ensure that the text-to-speech functionality works as expected with the new language setting. If the issue persists, double-check the language code and refer to the documentation for any additional configuration requirements.
By following these steps, you can effectively resolve the unsupported language issue in Google WaveNet. Always ensure that you are using a supported language by consulting the official Google Cloud Text-to-Speech documentation. This will help you avoid similar issues in the future and ensure smooth operation of your voice-enabled applications.
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