YAML Metadata Warning:The pipeline tag "voice-conversion" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

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:

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

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GGUF

Model size

83.4M params

Architecture

meanvc2

Hardware compatibility

8-bit

16-bit

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Model tree for cstr/MeanVC2-GGUF

Base model

ASLP-lab/MeanVC2

Quantized

(3)

this model