Full NZG NZG 73 model: README.md

README.md

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----
-license: apache-2.0
----
+---
+base_model:
+- Qwen/Qwen3-0.6B
+language:
+- aae
+- aal
+- aao
+- ab
+- abb
+- abn
+- abr
+- abs
+- abv
+- acm
+- acw
+- acx
+- adf
+- adx
+- ady
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+- afo
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+- amu
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+- apd
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+- eko
+- ekr
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+- elm
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+- ewo
+- ext
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+- hsb
+- ht
+- hu
+- hue
+- hul
+- hux
+- hwo
+- hy
+- hz
+- ia
+- ibb
+- id
+- ida
+- idu
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+- ikw
+- is
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+- it
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+- jax
+- jgo
+- jmx
+- jns
+- jqr
+- juk
+- juo
+- jv
+- ka
+- kab
+- kai
+- kaj
+- kam
+- kbd
+- kbl
+- kbt
+- kcq
+- kdh
+- kea
+- keu
+- kfe
+- kfk
+- kfp
+- khg
+- khw
+- kj
+- kjc
+- kjk
+- kk
+- kln
+- kls
+- km
+- kmr
+- kmy
+- kn
+- kna
+- knn
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+- kpo
+- kqo
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+- ksd
+- ksf
+- kto
+- kuh
+- kvx
+- kw
+- kwm
+- kxp
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+- kyx
+- lag
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+- lcm
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+- luo
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+- mab
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+- mai
+- mau
+- max
+- mbo
+- mcf
+- mcn
+- mcx
+- mdd
+- mde
+- mdf
+- mek
+- mer
+- meu
+- mfm
+- mfn
+- mfo
+- mfv
+- mgg
+- mgi
+- mhk
+- mhr
+- mi
+- mig
+- miu
+- mk
+- mkf
+- mki
+- ml
+- mlq
+- mn
+- mne
+- mni
+- mqy
+- mr
+- mrj
+- mrr
+- mrt
+- ms
+- mse
+- msh
+- msw
+- mt
+- mtr
+- mtu
+- mtx
+- mua
+- mug
+- mui
+- mve
+- mvy
+- mxs
+- mxu
+- mxy
+- my
+- myv
+- mzl
+- nal
+- nan
+- nap
+- nb
+- nbh
+- ncf
+- nco
+- ncx
+- ndi
+- ng
+- ngi
+- nhg
+- nhi
+- nhn
+- nhq
+- nja
+- nl
+- nla
+- nlv
+- nmg
+- nmz
+- nn
+- nnh
+- 'no'
+- noe
+- npi
+- nso
+- ny
+- nyu
+- oc
+- odk
+- odu
+- ogo
+- om
+- orc
+- oru
+- ory
+- os
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+- pbs
+- pbt
+- pbu
+- pcm
+- pex
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+- phr
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+- pmy
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+- poe
+- pow
+- prq
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+- qug
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+- qvj
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+- sah
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+- say
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+- sc
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+- scn
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+- sei
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+- siw
+- sjr
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+- skg
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+- tar
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+- uk
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+- ur
+- ush
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+- vai
+- var
+- ver
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+- xhe
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+- xmf
+- xmv
+- xmw
+- xpe
+- xti
+- xtu
+- yaq
+- yav
+- yay
+- ydd
+- ydg
+- yer
+- 'yes'
+- yi
+- yo
+- yue
+- zga
+- zgh
+- zh
+- zoc
+- zoh
+- zor
+- zpv
+- zpy
+- ztg
+- ztn
+- ztp
+- zts
+- ztu
+- zu
+- zza
+license: apache-2.0
+pipeline_tag: text-to-speech
+tags:
+- zero-shot
+- multilingual
+- voice-cloning
+- voice-design
+---
+
+# OmniVoice 🌍
+
+<p align="center">
+  <img width="200" height="200" alt="OmniVoice" src="https://zhu-han.github.io/omnivoice/pics/omnivoice.jpg" />
+</p>
+
+<p align="center">
+  <a href="https://huggingface.co/k2-fsa/OmniVoice"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-FFD21E" alt="Hugging Face Model"></a>
+  &nbsp;
+  <a href="https://huggingface.co/spaces/k2-fsa/OmniVoice"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Space-blue" alt="Hugging Face Space"></a>
+  &nbsp;
+  <a href="https://huggingface.co/papers/2604.00688"><img src="https://img.shields.io/badge/arXiv-Paper-B31B1B.svg"></a>
+  &nbsp;
+  <a href="https://github.com/k2-fsa/OmniVoice"><img src="https://img.shields.io/badge/GitHub-Code-181717?logo=GitHub" alt="GitHub Code"></a>
+  &nbsp;
+  <a href="https://zhu-han.github.io/omnivoice"><img src="https://img.shields.io/badge/GitHub.io-Demo_Page-blue?logo=GitHub&style=flat-square"></a>
+</p>
+
+OmniVoice is a massive multilingual zero-shot text-to-speech (TTS) model that scales to over 600 languages. Built on a novel diffusion language model-style architecture, it delivers high-quality speech with superior inference speed, supporting voice cloning and voice design.
+
+- **Paper:** [OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models](https://huggingface.co/papers/2604.00688)
+- **Repository:** [GitHub](https://github.com/k2-fsa/OmniVoice)
+- **Demo:** [Hugging Face Space](https://huggingface.co/spaces/k2-fsa/OmniVoice)
+
+## Key Features
+
+- **600+ Languages Supported**: The broadest language coverage among zero-shot TTS models.
+- **Voice Cloning**: State-of-the-art voice cloning quality from a short reference audio.
+- **Voice Design**: Control voices via assigned speaker attributes (gender, age, pitch, dialect/accent, whisper, etc.).
+- **Fast Inference**: RTF as low as 0.025 (40x faster than real-time).
+- **Diffusion Language Model Architecture**: A clean, streamlined, and scalable design that delivers both quality and speed.
+
+## Sample Usage
+
+To get started, install the `omnivoice` library:
+
+```bash
+pip install omnivoice
+```
+
+### Python API
+
+You can use OmniVoice for zero-shot voice cloning as follows:
+
+```python
+from omnivoice import OmniVoice
+import torch
+import torchaudio
+
+# Load the model
+model = OmniVoice.from_pretrained(
+    "k2-fsa/OmniVoice",
+    device_map="cuda:0",
+    dtype=torch.float16
+)
+
+# Generate audio
+audio = model.generate(
+    text="Hello, this is a test of zero-shot voice cloning.",
+    ref_audio="ref.wav",
+    ref_text="Transcription of the reference audio.",
+) # audio is a list of `torch.Tensor` with shape (1, T) at 24 kHz.
+
+torchaudio.save("out.wav", audio[0], 24000)
+```
+
+## Citation
+
+```bibtex
+@article{zhu2026omnivoice,
+      title={OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models},
+      author={Zhu, Han and Ye, Lingxuan and Kang, Wei and Yao, Zengwei and Guo, Liyong and Kuang, Fangjun and Han, Zhifeng and Zhuang, Weiji and Lin, Long and Povey, Daniel},
+      journal={arXiv preprint arXiv:2604.00688},
+      year={2026}
+}
+```