The project consists in evaluating music similarity and building a genre classifier using song embeddings from GTZAN dataset extracted with Essentia’s MSD-MusiCNN model.
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Updated
Feb 28, 2021 - Jupyter Notebook
The project consists in evaluating music similarity and building a genre classifier using song embeddings from GTZAN dataset extracted with Essentia’s MSD-MusiCNN model.
AIC (Audio Intelligence Companion) est un assistant musical local fonctionnant 100 % hors-ligne. Il analyse votre bibliothèque audio avec le réseau de neurones MusiCNN, indexe les empreintes vectorielles dans LanceDB et génère des playlists sur-mesure grâce à l'algorithme MMR. Développé avec Flet.
Audio to Generative Art. IC Hello World Hackathon 2021 entry.
One-click orchestrator that chains all six Tagify taggers — BPM/mood, genre, lyrics, and Spotify metadata — into a single automated pipeline for your .ogg library.
A suite of standalone scripts for tagging OGG music libraries with Spotify metadata, lyrics, genre, and BPM/mood — manual edition, one module per script.
🎵 Classify songs into 10 genres using a machine learning audio classifier with a modern interface, despite current issues during audio processing.
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