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This directory contains the local model files used by viitor-ai/viitor-voice-nar.
Source du modèle
Description de la source
This directory contains the local model files used by viitor-ai/viitor-voice-nar.
ViiTorVoice-NAR is a non-autoregressive speech generation model for voice cloning, local speech editing, and emotion / paralinguistic speech control. The files in this directory are split by function so each model component can be loaded independently.
Sources
1 sourceVérifié 22 sept.
Artefacts du modèle
1 artefactaligner/Qwen3-ForcedAligner-0.6B/model.safetensors
safetensors · 1,71 GB · SHA-256 47831d0e82f9…e0e7 · Hugging Face
TéléchargerExtraits de sources
2 extraits
local_models/
├── aligner/
│ └── Qwen3-ForcedAligner-0.6B/
├── assets/
│ └── dualcodec_silence_2s.pt
├── dualcodec/
│ ├── dualcodec_ckpts/
│ └── w2v-bert-2.0/
└── llm/
└── 0p6_emotion/
| Component | Path | Purpose |
|---|---|---|
| ViiTorVoice-NAR LLM | llm/0p6_emotion/ | Generates target speech tokens from text, prompt speech tokens, edit masks, duration conditions, and emotion or non-verbal tags. |
| DualCodec | dualcodec/dualcodec_ckpts/ | Converts waveform audio into discrete speech codebook tokens and decodes generated tokens back into waveform audio. |
| W2V-BERT 2.0 | dualcodec/w2v-bert-2.0/ | Extracts semantic speech features used by the DualCodec encoder. |
| Qwen3 Forced Aligner | aligner/Qwen3-ForcedAligner-0.6B/ | Aligns speech audio with text and provides timestamps for local speech editing. |
| Runtime Assets | assets/ | Stores small auxiliary files, such as precomputed silence tokens used during generation or padding. |
--- license: apache-2.0 datasets: - amphion/Emilia-Dataset - amphion/Emilia-NV - simon3000/genshin-voice language: - zh - en - ja - ko base_model: - Qwen/Qwen3-0.6B pipeline_tag: text-to-speech tags: - Text-to-Speech - TTS - speech-edit --- # ViiTorVoice-NAR Local Models [](https://github.com/viitor-ai/viitor-voice-nar) [](https://huggingface.co/spaces/ZzWater/ViiTorVoice) This directory contains the local model files used by [viitor-ai/viitor-voice-nar](https://github.com/viitor-ai/viitor-voice-nar). ViiTorVoice-NAR is a non-autoregressive speech generation model for voice cloning, local speech editing, and emotion / paralinguistic speech control. The files in this directory are split by function so each model component can be loaded independently. ## Directory ```text local_models/ ├── aligner/ │ └── Qwen3-ForcedAligner-0.6B/ ├── assets/ │ └── dualcodec_silence_2s.pt ├── dualcodec/ │ ├── dualcodec_ckpts/ │ └── w2v-bert-2.0/ └── llm/ └── 0p6_emotion/ ``` ## Model Components | Component | Path | Purpose | | --- | --- | --- | | ViiTorVoice-NAR LLM | `llm/0p6_emotion/` | Generates target speech tokens from text, prompt speech tokens, edit masks, duration conditions, and emotion or non-verbal tags. | | DualCodec | `dualcodec/dualcodec_ckpts/` | Converts waveform audio into discrete speech codebook tokens and decodes generated tokens back into waveform audio. | | W2V-BERT 2.0 | `dualcodec/w2v-bert-2.0/` | Extracts semantic speech features used by the DualCodec encoder. | | Qwen3 Forced Aligner | `aligner/Qwen3-ForcedAligner-0.6B/` | Aligns speech audio with text and provides timestamps for local speech editing. | | Runtime Assets | `assets/` | Stores small auxiliary files, such as precomputed silence tokens used during generation or padding. | ## Main Uses - Voice cloning: synthesize new speech from target text while preserving the speaker characteristics of prompt audio. - Local speech editing: replace only the changed region of an utterance while keeping the rest of the audio stable. - Emotion and paralinguistic control: condition generation with tags such as emotion labels or non-verbal vocal events. ## Notes - Keep the directory structure unchanged unl...
Source context: 114 downloads · 137 likes · Pipeline text-to-speech · Repo ZzWater/ViiTorVoice-NAR