Developer's Guide for Adding Voice Interaction to Zola
Implementing voice functionality requires a three-step transformation:
- front-end integration(1) In
components/InputAdd a microphone button; 2) Capture speech using Web Speech API (HTTPS environment required); 3) Implement speech-to-text locally via whisper.cpp - back-end processing(1) New construction
/api/ttsRouting to handle speech synthesis; 2) Integration with EdgeTTS or VITS project for multilingual support; 3) Push live audio streaming using WebSocket - UI optimization: 1) adding visualized voice waveforms; 2) designing mute detection logic; 3) implementing interruptions in conversations
Deployment Note: 1) iOS requires special handling of Autoplay limitations; 2) Consider adding SpeechRecognition polyfill to be compatible with older browsers; 3) It is recommended that speech files be stored in OPUS format to save bandwidth.
This answer comes from the articleZola: Open Source AI Chat Web App with Document Upload and Multi-Model SupportThe
May not be reproduced without permission:AI productivity tools " How to implement customized voice interaction features by modifying Zola source code?
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