ViiTorVoice-NAR Local Models

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

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 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.