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Anthropic-ai/aivoice

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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ViiTorVoice-NAR Local Models

![GitHub](https://github.com/viitor-ai/viitor-voice-nar) ![Hugging Face Demo](https://huggingface.co/spaces/ZzWater/ViiTorVoice)

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.

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

ComponentPathPurpose
ViiTorVoice-NAR LLMllm/0p6_emotion/Generates target speech tokens from text, prompt speech tokens, edit masks, duration conditions, and emotion or non-verbal tags.
DualCodecdualcodec/dualcodec_ckpts/Converts waveform audio into discrete speech codebook tokens and decodes generated tokens back into waveform audio.
W2V-BERT 2.0dualcodec/w2v-bert-2.0/Extracts semantic speech features used by the DualCodec encoder.
Qwen3 Forced Aligneraligner/Qwen3-ForcedAligner-0.6B/Aligns speech audio with text and provides timestamps for local speech editing.
Runtime Assetsassets/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 unless the loading code is updated as well.
  • —Model weights are large binary files and are usually stored outside normal git tracking.
  • —Check the upstream project and each submodel for license and usage terms.