C++ library for audio and music analysis, description and synthesis, including Python bindings
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Updated
Jun 5, 2024 - C++
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
Docker container to retrieve musical information from audio data using Essentia extractors
Categorize audio files by genre effortlessly. Use Dockerized environment and API to classify music genres.
Real Time Music Genre Classification using Essentia.js
🎹🎵🎶 A platform to make Original and Cover Visible and Valuable.
A tutorial for using Essentia in Python
Estimate the main melody from streaming audio.
🐳 Custom Essentia build to support high-level model classification and Chromaprint calculations in essentia_streaming_extractor_music
The Light music visualizer v3
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.
Audio sample classification app for better library exploration during music production.
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"
Methods to compute various chroma audio features and audio similarity measures particularly for the task of cover song identification
Music playing bot using machine learning and audio processing principles
Harmonic-Percussive source separation using Essentia, and JUCE for the GUI
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