ESSENTIA: an open source library for audio analysis

Dmitry Bogdanov, Nicolas Wack, Emilia Gómez, Sankalp Gulati, Perfecto Herrera, Oscar Mayor, Gerard Roma, Justin Salamon, José Zapata, Xavier Serra

Research output: Contribution to specialist publicationArticle

Abstract

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 executable extractors for the available
music descriptors, which facilitates its use for fast prototyping and allows setting up research experiments very rapidly.
Furthermore, it includes a Vamp plugin to be used with
Sonic Visualiser for visualization purposes. The library is
cross-platform and currently supports Linux, Mac OS X,
and Windows systems. Essentia is designed with a focus on
the robustness of the provided music descriptors and is optimized in terms of the computational cost of the algorithms.
The provided functionality, specifically the music descriptors included in-the-box and signal processing algorithms, is
easily expandable and allows for both research experiments
and development of large-scale industrial applications.
Original languageEnglish
Pages18-21
Number of pages4
Volume6
No.1
Specialist publicationACM SIGMM Records
Publication statusPublished - Mar 2014
Externally publishedYes

Fingerprint Dive into the research topics of 'ESSENTIA: an open source library for audio analysis'. Together they form a unique fingerprint.

  • Cite this

    Bogdanov, D., Wack, N., Gómez, E., Gulati, S., Herrera, P., Mayor, O., ... Serra, X. (2014). ESSENTIA: an open source library for audio analysis. ACM SIGMM Records, 6(1), 18-21.