Voiceclonnx Knn Vc

--- license: mit library_name: onnxruntime tags: - voice-conversion - onnx - vconnx - knn-vc pipeline_tag: audio-to-audio --- # vconnx · kNN-VC (pure ONNX) ONNX export of [kNN-VC](https://github.com/bshall/knn-vc) (Baas et al., Interspeech 2023, MIT) for the **vconnx** voice-conversion library: WavLM-Large layer-6 feature extractor + prematched HiFi-GAN vocoder; the kNN regression step is pure numpy at inference time. Any-to-any voice conversion at 16 kHz, CPU-only. | file | role | size | |---|---|---| | `wavlm_layer6.onnx` | feature extractor (fp32) | 387 MB | | `wavlm_layer6_q8.onnx` | feature extractor (int8) | 98 MB | | `hifigan_knnvc.onnx` | vocoder (fp32) | 63 MB | | `hifigan_knnvc_q8.onnx` | vocoder (int8) | 25 MB | Export parity vs the torch reference (max abs): WavLM see report · HiFi-GAN see report (full reports in the repo). ## Usage ```python from vconnx import VoiceCloner out = VoiceCloner(engine="knnvc").clone_voice("source.wav", "reference.wav") ``` Provenance and upstream license: see `PROVENANCE.md`. Weights derive from [bshall/knn-vc](https://github.com/bshall/knn-vc) (MIT) and [microsoft WavLM](https://github.com/microsoft/unilm/tree/master/wavlm) (MIT).

Source context: 60 downloads · 0 likes · Pipeline audio-to-audio · Library onnxruntime · Repo TigreGotico/voiceclonnx-knn-vc

Source context: 9 downloads · 0 likes · Pipeline audio-to-audio · Library onnxruntime · Repo TigreGotico/voiceclonnx-knn-vc