Essentia: An Audio Analysis Library for Music Information Retrieval

  title={Essentia: An Audio Analysis Library for Music Information Retrieval},
  author={Dmitry Bogdanov and Nicolas Wack and Emilia G{\'o}mez and Sankalp Gulati and Perfecto Herrera and Oscar Mayor and Gerard Roma and Justin Salamon and Jos{\'e} R. Zapata and Xavier Serra},
We present Essentia 2.0, an open-source C++ library for audio analysis and audio-based music information retrieval released under the Affero GPL license. It contains an extensive collection of reusable algorithms which implement 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. The library is also wrapped in Python and includes a number of predefined… CONTINUE READING
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