C++ library for audio and music analysis, description and synthesis, including Python bindings
JavaScript library for music/audio analysis and processing powered by Essentia WebAssembly
Methods to compute various chroma audio features and audio similarity measures particularly for the task of cover song identification
Estimate the main melody from streaming audio.
Intelligent audio analysis and automatic genre/mood tagging using Essentia ML models
A tutorial for using Essentia in Python
Matlab implementation of the: J.R. Zapata, M. Davies and E. Gómez, "Multi-feature beat tracker," IEEE/ACM Transactions on Audio, Speech and Language Processing. 22(4), pp. 816-825, 2014"
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
🎹🎵🎶 A platform to make Original and Cover Visible and Valuable.
🎵 Transform Spotify playlists into a DJ-ready Rekordbox library. Automatic KEY detection (Camelot), BPM analysis, quality filtering, and smart organization. Perfect for harmonic mixing!
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.
Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017
Docker container to retrieve musical information from audio data using Essentia extractors
An end-to-end Infinite Jukebox replacement that analyzes audio, serves it via an API, and plays it with interactive visualizations across both Web and Android platforms.
Harmonic-Percussive source separation using Essentia, and JUCE for the GUI
Music classification and discovery tool for macOS
The Light music visualizer v3
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