Step-Audio-TTS-3B

Step-Audio-TTS-3B represents the industry's first Text-to-Speech (TTS) model trained on a large-scale synthetic dataset utilizing the LLM-Chat paradigm. It has achieved SOTA Character Error Rate (CER) results on the SEED TTS Eval benchmark. The model supports multiple languages, a variety of emotional expressions, and diverse voice style controls. Notably, Step-Audio-TTS-3B is also the first TTS model in the industry capable of generating RAP and Humming, marking a significant advancement in the field of speech synthesis.

This repository provides the model weights for StepAudio-TTS-3B, which is a dual-codebook trained LLM (Large Language Model) for text-to-speech synthesis. Additionally, it includes a vocoder trained using the dual-codebook approach, as well as a specialized vocoder specifically optimized for humming generation. These resources collectively enable high-quality speech synthesis and humming capabilities, leveraging the advanced dual-codebook training methodology.

Performance comparison of content consistency (CER/WER) between GLM-4-Voice and MinMo.

Results of TTS Models on SEED Test Sets.

• StepAudio-TTS-3B-Single denotes dual-codebook backbone with single-codebook vocoder*

Performance comparison of Dual-codebook Resynthesis with Cosyvoice.

More information

For more information, please refer to our repository: Step-Audio.