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stepfun-ai_Step-Audio-TTS-3B

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license: apache-2.0 pipeline_tag: text-to-speech

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.

Model test-zh test-en
CER (%) ↓ WER (%) ↓
GLM-4-Voice 2.19 2.91
MinMo 2.48 2.90
Step-Audio 1.53 2.71

Results of TTS Models on SEED Test Sets.

  • StepAudio-TTS-3B-Single denotes dual-codebook backbone with single-codebook vocoder*
Model test-zh test-en
CER (%) ↓ SS ↑ WER (%) ↓ SS ↑
FireRedTTS 1.51 0.630 3.82 0.460
MaskGCT 2.27 0.774 2.62 0.774
CosyVoice 3.63 0.775 4.29 0.699
CosyVoice 2 1.45 0.806 2.57 0.736
CosyVoice 2-S 1.45 0.812 2.38 0.743
Step-Audio-TTS-3B-Single 1.37 0.802 2.52 0.704
Step-Audio-TTS-3B 1.31 0.733 2.31 0.660
Step-Audio-TTS 1.17 0.73 2.0 0.660

Performance comparison of Dual-codebook Resynthesis with Cosyvoice.

Token test-zh test-en
CER (%) ↓ SS ↑ WER (%) ↓ SS ↑
Groundtruth 0.972 - 2.156 -
CosyVoice 2.857 0.849 4.519 0.807
Step-Audio-TTS-3B 2.192 0.784 3.585 0.742

More information

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

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Files & hashes

PathSizesha1sha256
CosyVoice-300M-25Hz-Music/VERSION_Vq0206Vocoder_Sing_0106133 B (133 B)2d468d86821058fbddf5fcbbf8faa67119ef83d934b05c07a3bc8c7d10faf763ec658328f37dc819c3e0a33ef80911a7247983b4
CosyVoice-300M-25Hz-Music/cosyvoice.yaml3.1 KB (3,172 B)100c00f424dd6a250a0329596b4872229e4b9f89e67225adeca0bb3739e75f490d3d9e951615090ec5cbe5d276b6a03e2dc5e0cf
CosyVoice-300M-25Hz-Music/flow.pt402.6 MB (422,109,962 B)b4fae4de7de362d2cfb28550c9100907724ea1b5acdae6101bc558903b68f506a7034f5fc582f16801e6f8e4a416dce4c509bae7
CosyVoice-300M-25Hz-Music/hift.pt78.1 MB (81,896,716 B)09be04863939f6c56a4c0fee063202319384a00e91e679b6ca1eff71187ffb4f3ab0444935594cdcc20a9bd12afad111ef8d6012
CosyVoice-300M-25Hz/VERSION_Vq0206Vocoder_12020 B (0 B)e69de29bb2d1d6434b8b29ae775ad8c2e48c5391e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855
CosyVoice-300M-25Hz/cosyvoice.yaml3.1 KB (3,172 B)100c00f424dd6a250a0329596b4872229e4b9f89e67225adeca0bb3739e75f490d3d9e951615090ec5cbe5d276b6a03e2dc5e0cf
CosyVoice-300M-25Hz/flow.pt402.6 MB (422,117,160 B)c6111792e2d5e5f7e2f2555bfc7f9e314a813939a0fefc7bc07c57cf4b8b13adec54585dd3ea4285b32f03b85fc9b7f2f34887f5
CosyVoice-300M-25Hz/hift.pt78.1 MB (81,896,716 B)09be04863939f6c56a4c0fee063202319384a00e91e679b6ca1eff71187ffb4f3ab0444935594cdcc20a9bd12afad111ef8d6012
README.md6.6 KB (6,795 B)857c40a1ed9d77703aadd9a2306a0db9050969d4dc3dfef376aef909b1e2c53ed38fb860d3b190a2d98d98f5a3c34005c1acc68b
config.json514 B (514 B)78619a35b594335317baddc69f5c134d36ce4f5f4a52e9b9397df4fdc0b9b3a89dddf3fc060ca33d27fd0760b90c1da9b37ddc9c
configuration_step1.py1.2 KB (1,251 B)f6ad885955d74ee543130fa4e4d537321c94368eceba3d81a7f8fba186501b731bd9270ab17ddfe863a0921e1792f394d01dff20
lib/liboptimus_ths-torch2.2-cu121.cpython-310-x86_64-linux-gnu.so29.8 MB (31,250,408 B)65f2f26bef5ade34d1d117ca2cc4c46cbf9dd9fce018916e5e93fb904be6b34af32e71d03ba9e888d8c086a43a5c9fcacda661a1
lib/liboptimus_ths-torch2.3-cu121.cpython-310-x86_64-linux-gnu.so29.8 MB (31,250,472 B)dc18894b9c6b634ac32f22e33c9031a87c88f01aee23bba95f7806364e101e285720892b755a176d603842fb4646822800ac2344
lib/liboptimus_ths-torch2.5-cu124.cpython-310-x86_64-linux-gnu.so29.8 MB (31,258,792 B)3be6dc033f4f07c573bfeaa987093c081b60481a6fa1a77f035203ff90a071218f775381f705269ef454163474d22501684b7e1f
model-00001.safetensors6.57 GB (7,059,446,656 B)ef628d8375e016e5a523694798a962bc6806512899b74741d91dbe52844497fe5faf50cb195d28ffd51bb31777c632ae2eed3176
model.safetensors.index.json19.7 KB (20,147 B)301504a7d89e5e54e18aa9c237d249fa91a35af694cadf7795a0e36dee76000aabf2804ed60a896718905d0f94a10908f95496fc
modeling_step1.py14.5 KB (14,855 B)4ecaa52f33c666982de2f491e18a31407d8f1d7d782f2a9eea0838acdb49cc6e067704fc546919d873b68a30ad109206043ad3a0
tokenizer.model1.2 MB (1,264,044 B)7579f4a8ec1f12ff0e25949b5affa246b69a771625e122d9205d035033a9994c4d46a6a1b467a938654e4178fc0e5f4f5d610674
tokenizer_config.json314 B (314 B)f9bf4b6a00b757af0559e4c2aff443abeafc842a0db16fc3d1de979315e6bc1ab22ab0c8add09b50631f35cc551945e3d685382b

Cite this release

Canonical URL
https://aiseedbank.org/models/stepfun-ai_Step-Audio-TTS-3B/
Slug
stepfun-ai_Step-Audio-TTS-3B
Infohash
6e79801aec7f2b7b734eac2c44f8e46be20247a4
License
apache-2.0
Signing key fingerprint
85a3b32c3712427b

Every file carries a locally computed sha256 — verify a download against the signed sums: stepfun-ai_Step-Audio-TTS-3B.SHA256SUMS (+ minisign signature).

Provenance

Upstream repositorystepfun-ai/Step-Audio-TTS-3B
Revision (pinned)9ddb7cb28b97bbfceb429f1a2567b30256b7137c
Fetched at2026-09-04T06:18:22Z
License at fetchapache-2.0
Snapshot toolhuggingface · seedbank 0.1.0

Trackers

✓ verified · rehash-vs-hf-metadata at 2026-09-04T06:19:45Z

apache-2.07.60 GB (8,162,541,279 bytes)onnxsafetensorsstep1text-to-speechcustom_code