README.md

metadata

license: apache-2.0
language:
  - en
  - zh
base_model:
  - ASLP-lab/MeanVC2
pipeline_tag: voice-conversion
tags:
  - voice-conversion
  - zero-shot
  - streaming
  - meanvc2
  - gguf
  - crispasr
library_name: ggml

MeanVC2 — GGUF (ggml-quantised)

GGUF / ggml quantised weights of ASLP-lab/MeanVC2 for use with CrispASR.

MeanVC2 is a robust low-latency streaming zero-shot voice conversion architecture developed by ASLP@NPU (Apache-2.0). It couples:

1. Pretrained Streaming Fast-U2++ Conformer ASR (160ms/80ms window) for speaker-invariant bottleneck feature extraction.
2. Universal Timbre Token Encoder (UTTE) featuring Global Timbre Memory (GTM) and Temporal Timbre cross-attention (TVT).
3. 1-NFE Flow Matching DiT with Future-Receptive Chunking (FRC) and causal KV caching.
4. Vocos Neural Vocoder with ConvNeXt backbone and inverse STFT synthesis.

Quantization Details

• meanvc2-120ms-40ms-q4_k.gguf (77 MB): Weight linear layers quantised to Q4_K / Q6_K; attention projections, conv kernels, and norms preserved in FP16/FP32.
• meanvc2-120ms-40ms-q8_0.gguf (111 MB): Weight linear layers quantised to Q8_0.
• meanvc2-120ms-40ms-f16.gguf (175 MB): Unquantised IEEE FP16 baseline (100% numerical parity).

Quickstart with CrispASR

CLI Voice Conversion

crispasr-convert meanvc2-120ms-40ms-q4_k.gguf input_voice.wav target_voice.wav output.wav