### Answer
To address the issue of mispronunciations in your voice assistant's script, you can try several approaches to enhance the pronunciation clarity of your AI model:
1. **Customize Text-to-Speech (TTS) Settings**: Adjust the TTS settings to better handle specific phrases or words that are frequently mispronounced. This might involve tweaking the phonetic representations of words in the script.
2. **Explicit Tool Integration**: Use explicit instructions in your system prompt or script to guide the Text-to-Speech engine on how to pronounce difficult words. For example, phonetically spell out problematic words in a way that the TTS system can interpret them more accurately [(1)](
) .
3. **TTS Provider Adjustments**: Consider experimenting with different TTS providers or voices that might offer better pronunciation for the specific terms that are problematic. Each TTS engine might handle speech synthesis differently, and some might have better outcomes with certain types of words or phrases.
4. **Feedback Loop**: Implement a feedback loop where mispronunciations can be flagged by users or testers, and adjustments can be made iteratively to the script or the TTS engine settings.
5. **Advanced Customizations**: If the standard adjustments are not sufficient, you might need to resort to more advanced customizations like using SSML (Speech Synthesis Markup Language) to fine-tune the pronunciation, pitch, and speed of specific words within the script.
By systematically applying these adjustments, you should be able to reduce the instances of mispronunciation and enhance the overall human-like quality of your voice assistant’s interactions.
For more detailed guidance on managing and adjusting TTS settings, you can refer to the specific documentation sections on tool integration and TTS customization within the Vapi platform do