openai-fm enhances the practical application value of the emotional expression capability of OpenAI TTS API through a well-designed voice style control system. The system is based on two core configuration files: data/voices.json (defining timbre features) and data/vibes.json (controlling emotional tones), forming a complete speech parameterization system.
The specific implementation contains three major innovations: 1) dynamic drop-down menu to switch more than 6 preset tones in real time; 2) linear adjustment of emotional intensity from friendly to serious; and 3) support for developers to extend new voice configurations by modifying JSON files. Tests have shown that this design can improve the emotion recognition accuracy of synthesized speech by 40%, which is especially suitable for customer service robots, audiobooks and other scenarios that require specific tones. The project also reserves an API parameter extension interface to facilitate the integration of more complex Prosody control functions.
This answer comes from the articleOpenAI.fm: an interactive demo tool showcasing the OpenAI speech APIsThe
