Flexible and easily extendable algorithms for common audio analysis processes and audio and music descriptors
Python’s scientific environment and command-line audio analysis tools
Used in industrial real-time applications
Essentia is a open-source C++ library for audio analysis and audio-based music information retrieval. It contains an extensive collection of algorithms including audio input/output functionality, standard digital signal processing blocks, statistical characterization of data, and a large set of spectral, temporal, tonal and high-level music descriptors. Essentia is cross-platform and it is designed with a focus on optimization in terms of robustness, computational speed and low memory usage, which makes it effective for many industrial applications. The library is also wrapped in Python and includes a number of command-line tools and third-party extensions, which facilitate its use for fast prototyping and allow setting up research experiments very rapidly.
Analyze audio and compute features to find similar sounds or music tracks.
Classify sounds or music based on computed audio features.
Find if a song is happy, sad, aggressive or relaxed.
Find a key of a music piece.
Detect onsets (and transients) in an audio signal.
Split audio into homogeneous segments that sound alike.
Estimate beat positions and tempo (BPM) of a song.
Estimate pitch in monophonic and polyphonic audio.
Extract fingerprints from any audio source using the Chromaprint algorithm.
Analyze spectral shape of an audio signal.
Use various loudness meters including algorithms compliant with the EBU R128 broadcasting standard.
Analyze, transform and synthesize sounds using spectral modeling approaches.
Collaborative database of Creative Commons Licensed sounds
Open platform for gathering music information from audio
Interactive iPhone tuner app for learning to play music instrumens
Award winning independent rhythm game using Essentia's beat detection
An iOS/Android app that helps you learn guitar
Cutting-edge interactive products for musical creation
Worldwide music search, interaction and monitoring
Technologies for music education and infotainment