# Low-Latency Low-Resource Voice Conversion 사용기 **Published by:** [spectrum](https://paragraph.com/@acidsound.sheepal/) **Published on:** 2023-11-05 **URL:** https://paragraph.com/@acidsound.sheepal/low-latency-low-resource-voice-conversion ## Content https://github.com/KoeAI/LLVC 써봄 CUDA 11.8 버전 쓰고 있어서 pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118 설치했으나 C컴파일을 요구해서 Vistual Studio Community 설치. 아래보고 참조함 FAIRSEQ 관련 오류는 Using cached ruamel.yaml.clib-0.2.8-cp311-cp311-win_amd64.whl (118 kB) Building wheels for collected packages: fairseq Building wheel for fairseq (pyproject.toml) ... error error: subprocess-exited-with-error × Building wheel for fairseq (pyproject.toml) did not run successfully. │ exit code: 1 ╰─> [1829 lines of output] No CUDA runtime is found, using CUDA_HOME='C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.8' .............................. match = self._regex.search(version) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ TypeError: expected string or bytes-like object, got 'NoneType' [end of output] note: This error originates from a subprocess, and is likely not a problem with pip. ERROR: Failed building wheel for fairseq Failed to build fairseq ERROR: Could not build wheels for fairseq, which is required to install pyproject.toml-based projects 이런 것이었는데 버전이 git+https 로 되어있던 requirements.txt 중 fairseq @ git+https://github.com/One-sixth/fairseq.git 이 부분을 그냥 fairseq 로 변경 일단 넘어는 갔다. `python infer.py 로 추론을 해보니 converted_out\174-50561-0000.wav converted_out\652-129742-0000.wav converted_out\777-126732-0000.wav converted_out\1919-142785-0000.wav converted_out\2086-149214-0000.wav converted_out\2412-153947-0000.wav converted_out\2902-9006-0000.wav converted_out\5895-34615-0000.wav converted_out\7850-73752-0000.wav converted_out\8842-302196-0000.wav 파일이 잘 생성된다. 흠.. 실시간 생성은 어떻게 하는거지? -s 옵션 준다고 되진 않네. ## Publication Information - [spectrum](https://paragraph.com/@acidsound.sheepal/): Publication homepage - [All Posts](https://paragraph.com/@acidsound.sheepal/): More posts from this publication - [RSS Feed](https://api.paragraph.com/blogs/rss/@acidsound.sheepal): Subscribe to updates - [Twitter](https://twitter.com/acidsound): Follow on Twitter