第 1 页 共 28 页 Proc. of the 10 th Int. Conference on Digital Audio Effects (DAFx-07), Bordeaux, France, September 10-15, 2007 A MATLAB TOOL BOX FOR MUSICAL FEATURE EXTRA- CTION FROM AUDIO Olivier Lartillot, Petri Toiviainen University of Jyväskylä Finland lartillo@campus.jyu.fi Abstract: We present MIRtoolbox, an integrated set of functions written in Matlab, dedicated to the extraction of musical features from audiofiles. The design is based on a modular framework: the differential gorithms are decomposed into stages, formalized using a minimal set of elementary mechanisms, and integrating different variants proposed by alternative approaches – including new strategies we have developed –, that users can select and parametrize. This paper offers an overview of the set of features, related among others, to timbre, tonality, rhythm or form, that can be extracted with MIRtoolbox. Four particular analyses are provided as examples. The toolbox also includes functions for statistical analysis, egmentation and clustering. Particular attention has been paid to the design of a syntax that offers both simplicity of use and transparent adaptiveness to a multiplicity of possible input types. Each feature extraction method can accept as argument an audiofile, or any preliminary result from intermediary stages of the chain of operations. Also the same syntax can be used for analyses of single audio files, batches of files, series of audio segments, multichannel signals, etc. For that purpose, the data and methods of the toolbox are organised in an object-oriented architecture. 1. MOTIVATION AND APPROACH MIRToolbox is a Matlab toolbox dedicated to the extraction of musically-related features from audio recordings. It...
