#If I work with the French language in Projects, what should I be aware of ? Issues, workarounds, be

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karmic joltBOT
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AI-generated Answer for s.jallard_35377

When working with French in Projects, there are a few things to keep in mind to ensure the best results:

  1. Accent Drift: Be aware of potential language switching or "accent drift." To mitigate this, use shorter text chunks under 800 characters and select a voice cloned from a native French speaker.

  2. Pronunciation: The multilingual models may mispronounce certain words, especially if they appear in other languages. You can use the Projects feature to specify pronunciations for specific words, such as local forms or brand names.

  3. Silent Plurals: There might be issues with silent plural forms in French. You can try removing silent endings or creating artificial liaisons to improve pronunciation.

  4. Voice Selection: Use high-quality voice samples for cloning to ensure better accent and pronunciation accuracy. This is particularly important for capturing local variations in Swiss French.

  5. Model Choice: For French, use the multilingual v2 model for better stability. This model is designed to handle multiple languages more effectively.

  6. Language Context: Provide clear language context within the input text to help the AI maintain consistency.

By following these best practices, you can improve the quality and accuracy of your French text-to-speech projects. If you encounter specific issues, feel free to reach out for further assistance.

proud river
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We haven't switched to multilingual v2 yet, because each time we've tried it, we get numerous random artifacts (voice going "bweeep" at the end of sentences, weird noises, drifts, etc.) that would need too much time to edit out later on. The v1 is much more stable and reliable in that regard, for French.