Step-Audio-TTS-3B

saoyuanyuan/Step-Audio-TTS-3B

Step-Audio-TTS-3B is a text-to-speech model from saoyuanyuan. Use it when you need text read aloud. The card lists the license as apache-2.0.

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At a glance

Task: Text-to-Speech
License: apache-2.0
Model type: step1
Access: Public
Created: Mar 24, 2026
Updated: Mar 24, 2026
SHA: 79201d3e

Model card

From the Hugging Face model README

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.

<table> <thead> <tr> <th rowspan="2">Model</th> <th style="text-align:center" colspan="1">test-zh</th> <th style="text-align:center" colspan="1">test-en</th> </tr> <tr> <th style="text-align:center">CER (%) ↓</th> <th style="text-align:center">WER (%) ↓</th> </tr> </thead> <tbody> <tr> <td>GLM-4-Voice</td> <td style="text-align:center">2.19</td> <td style="text-align:center">2.91</td> </tr> <tr> <td>MinMo</td> <td style="text-align:center">2.48</td> <td style="text-align:center">2.90</td> </tr> <tr> <td><strong>Step-Audio</strong></td> <td style="text-align:center"><strong>1.53</strong></td> <td style="text-align:center"><strong>2.71</strong></td> </tr> </tbody> </table>

Results of TTS Models on SEED Test Sets.

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

<table> <thead> <tr> <th rowspan="2">Model</th> <th style="text-align:center" colspan="2">test-zh</th> <th style="text-align:center" colspan="2">test-en</th> </tr> <tr> <th style="text-align:center">CER (%) ↓</th> <th style="text-align:center">SS ↑</th> <th style="text-align:center">WER (%) ↓</th> <th style="text-align:center">SS ↑</th> </tr> </thead> <tbody> <tr> <td>FireRedTTS</td> <td style="text-align:center">1.51</td> <td style="text-align:center">0.630</td> <td style="text-align:center">3.82</td> <td style="text-align:center">0.460</td> </tr> <tr> <td>MaskGCT</td> <td style="text-align:center">2.27</td> <td style="text-align:center">0.774</td> <td style="text-align:center">2.62</td> <td style="text-align:center">0.774</td> </tr> <tr> <td>CosyVoice</td> <td style="text-align:center">3.63</td> <td style="text-align:center">0.775</td> <td style="text-align:center">4.29</td> <td style="text-align:center">0.699</td> </tr> <tr> <td>CosyVoice 2</td> <td style="text-align:center">1.45</td> <td style="text-align:center">0.806</td> <td style="text-align:center">2.57</td> <td style="text-align:center">0.736</td> </tr> <tr> <td>CosyVoice 2-S</td> <td style="text-align:center">1.45</td> <td style="text-align:center">0.812</td> <td style="text-align:center">2.38</td> <td style="text-align:center">0.743</td> </tr> <tr> <td><strong>Step-Audio-TTS-3B-Single</strong></td> <td style="text-align:center">1.37</td> <td style="text-align:center">0.802</td> <td style="text-align:center">2.52</td> <td style="text-align:center">0.704</td> </tr> <tr> <td><strong>Step-Audio-TTS-3B</strong></td> <td style="text-align:center"><strong>1.31</strong></td> <td style="text-align:center">0.733</td> <td style="text-align:center"><strong>2.31</strong></td> <td style="text-align:center">0.660</td> </tr> <tr> <td><strong>Step-Audio-TTS</strong></td> <td style="text-align:center"><strong>1.17</strong></td> <td style="text-align:center">0.73</td> <td style="text-align:center"><strong>2.0</strong></td> <td style="text-align:center">0.660</td> </tr> </tbody> </table>

Performance comparison of Dual-codebook Resynthesis with Cosyvoice.

<table> <thead> <tr> <th style="text-align:center" rowspan="2">Token</th> <th style="text-align:center" colspan="2">test-zh</th> <th style="text-align:center" colspan="2">test-en</th> </tr> <tr> <th style="text-align:center">CER (%) ↓</th> <th style="text-align:center">SS ↑</th> <th style="text-align:center">WER (%) ↓</th> <th style="text-align:center">SS ↑</th> </tr> </thead> <tbody> <tr> <td style="text-align:center">Groundtruth</td> <td style="text-align:center">0.972</td> <td style="text-align:center">-</td> <td style="text-align:center">2.156</td> <td style="text-align:center">-</td> </tr> <tr> <td style="text-align:center">CosyVoice</td> <td style="text-align:center">2.857</td> <td style="text-align:center"><strong>0.849</strong></td> <td style="text-align:center">4.519</td> <td style="text-align:center"><strong>0.807</strong></td> </tr> <tr> <td style="text-align:center">Step-Audio-TTS-3B</td> <td style="text-align:center"><strong>2.192</strong></td> <td style="text-align:center">0.784</td> <td style="text-align:center"><strong>3.585</strong></td> <td style="text-align:center">0.742</td> </tr> </tbody> </table>

More information

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

Task: Text-to-Speech
Type: step1
License: apache-2.0
Created: Mar 24, 2026
Updated: Mar 24, 2026