assets/audio/:
assets/audio/sample1_noisy.wavassets/audio/sample1_restored.wavtools/):
pip install librosa matplotlibpython tools/make_mel_images.py assets/audio/sample1_noisy.wav assets/mels/sample1_noisy.pngpython tools/make_mel_images.py assets/audio/sample1_restored.wav assets/mels/sample1_restored.pngindex.html and duplicate one of the “Sample” boxes to add more items. Update the file paths per sample.The page uses Bulma CSS and standard HTML5 audio elements, so no backend is required. Serve statically (e.g., python -m http.server).

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
assets/audio/:
assets/audio/sample1_noisy.wavassets/audio/sample1_restored.wavtools/):
pip install librosa matplotlibpython tools/make_mel_images.py assets/audio/sample1_noisy.wav assets/mels/sample1_noisy.pngpython tools/make_mel_images.py assets/audio/sample1_restored.wav assets/mels/sample1_restored.pngindex.html and duplicate one of the “Sample” boxes to add more items. Update the file paths per sample.The page uses Bulma CSS and standard HTML5 audio elements, so no backend is required. Serve statically (e.g., python -m http.server).

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.