Pytorch port of Google Research's VGGish model used for extracting audio features.
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Updated
Nov 3, 2021 - Python
Pytorch port of Google Research's VGGish model used for extracting audio features.
A python library to train Deep Neural Networks on various audio tasks using Self-Supervised backbones.
Visualizations of music semantics calculus using Spotify and deep embeddings.
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Offline AI music recommender & recogniser. Local song ID + smart playlists (CLAP + FAISS).
AudioMuse-AI-DCLAP is a lightweight, high-speed distilled version of LAION CLAP, designed for fast and efficient text-to-music search
🎵 AI music tagger using MusicCocoa embeddings. 163 tags across genre, mood, vocals, texture. works on CPU
Generate audio embedding out of pruned L3
Re-Implementation of Google Research's VGGish model used for extracting audio features using Pytorch with GPU support.
Audio Embeddings using VGGish
Group together similar music
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