Brian McFee
Center for Data Science, New York University
Music and Audio Research Laboratory, New York University

Colin Raffel
LabROSA, Columbia University

Dawen Liang
LabROSA, Columbia University

Daniel P.W. Ellis
LabROSA, Columbia University

Matt McVicar
Department of Engineering Mathematics, University of Bristol

Eric Battenberg
Silicon Valley AI Lab, Baidu, Inc.

Oriol Nieto
Music and Audio Research Laboratory, New York University

Abstract

This document describes version 0.4.0 of librosa: a Python package for audio and music signal processing. At a high level, librosa provides implementations of a variety of common functions used throughout the field of music information retrieval. In this document, a brief overview of the library's functionality is provided, along with explanations of the design goals, software development practices, and notational conventions.

Keywords

audio, music, signal processing

DOI

10.25080/Majora-7b98e3ed-003

Bibtex entry

Full text PDF

Copyright © 2015 Brian McFee et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.