JoyTTS: LLM-based Spoken Chatbot With Voice Cloning
This provides a voice-enabled chatbot solution for conversational applications, though it appears incremental as it builds on existing open-source models.
The researchers tackled the problem of creating a spoken chatbot with voice cloning by combining large language models with text-to-speech technology, achieving a speaker similarity score of 0.73 and a word error rate of 5.09% on testing.
JoyTTS is an end-to-end spoken chatbot that combines large language models (LLM) with text-to-speech (TTS) technology, featuring voice cloning capabilities. This project is built upon the open-source MiniCPM-o and CosyVoice2 models and trained on 2000 hours of conversational data. We have also provided the complete training code to facilitate further development and optimization by the community. On the testing machine seed-tts-zh, it achieves a SS (speaker similarity) score of 0.73 and a WER (Word Error Rate) of 5.09. The code and models, along with training and inference scripts, are available at https://github.com/jdh-algo/JoyTTS.git.