FICHA · AUR

libgaia2

C++ library with python bindings which implements similarity measures and classifcations on the results of audio analysis, and generates classifcation models that Essentia can use to compute high-level description of music.

  • Library
  • AUDIO
  • SCIENCE
  • Dev
  • Dependency only
official+codex · reviewed · Jun 1, 2026 description in en

Description

Audio similarity and classification models help music-analysis software turn low-level signal features into higher-level descriptions. It is useful for research, recommendation, cataloging, and applications built around Essentia analysis results.

This is a scientific audio library, not a music player. Developers and researchers use it through C++ or Python bindings, and model quality depends on the training data and analysis workflow.

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