arxiv:2507.02380

JoyTTS: LLM-based Spoken Chatbot With Voice Cloning

Published on Jul 3

Authors:

Abstract

JoyTTS is an end-to-end spoken chatbot combining large language models and text-to-speech technology, offering voice cloning and achieving high speaker similarity and low word error rate.

AI-generated summary

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.

View arXiv page View PDF Add to collection

Community

kadirnar

Jul 4

@zhoufangru Please include the model address.

Upload images, audio, and videos by dragging in the text input, pasting, or clicking here.

Tap or paste here to upload images

· Sign up or log in to comment

Upvote

Models citing this paper 0

No model linking this paper

Cite arxiv.org/abs/2507.02380 in a model README.md to link it from this page.

Datasets citing this paper 0

No dataset linking this paper

Cite arxiv.org/abs/2507.02380 in a dataset README.md to link it from this page.

Spaces citing this paper 0

No Space linking this paper

Cite arxiv.org/abs/2507.02380 in a Space README.md to link it from this page.