| | ---
|
| | {}
|
| | ---
|
| | # Step-Audio-TTS-3B |
| |
|
| |
|
| | Step-Audio-TTS-3B 是业界首个基于大规模合成数据和LLM-Chat范式训练的TTS模型，在SEED TTS Eval上取得SOTA的CER结果，支持多种语言，多种情感，多种语音风格控制，也是业界首个支持RAP和哼唱的TTS模型。 |
| |
|
| | 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. |
| |
|
| |
|
| | 本仓库提供采用dual-codebook训练的StepAudio-TTS-3B LLM 模型权重，基于dual-codebook训练的vocoder，以及为哼唱专门训练的vocoder。 |
| |
|
| | 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. |
| |
|
| | 更多信息请参考我们的仓库： [Step-Audio](https://github.com/stepfun-ai/Step-Audio). |
| |
|
| | For more information, please refer to our repository: [Step-Audio](https://github.com/stepfun-ai/Step-Audio). |
