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Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints

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text
 

Genre(s)

article
 

Forme(s)

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Titre

Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints
 

Nom(s)

Cont, Arshia (auteur)
 
Dubnov, Shlomo (auteur)
 
Wessel, David L. (auteur)
 

Publication

Bordeaux, France , 2007
 

Description

Sujet(s)

Real-time   Multiple f0   Instrument classification   Non-negative Constraints   Sparsity   Modulation Spectrum
 

Résumé

In this paper we introduce a simple and fast method for realtimerecognition of multiple-pitches produced by multiple musicalinstruments. Our proposed method is based on two important facts:one that timbral information of any instrument is pitch-dependantand two, that the modulation spectrum of the same pitch seems toresult into a persistent representation of the characteristics ofthe instrumental family, as discussed in the paper. Using thesebasic facts, we construct a learning algorithm to obtain pitchtemplates of all possible notes on various instruments and thendevise an online algorithm to decompose a realtime audio bufferusing the learned templates. The learning and decomposition proposedhere are inspired by non-negative matrix factorization methods butdiffer by introduction of an explicit sparsity control. Our testresults show significant recognition rate for a realtime system andon real music recordings. We discuss further improvements that canbe made over the proposed system.
 

Note(s)

Contribution au colloque ou congrès : Digital Audio Effects (DAFx)
 

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Date de la notice

2012-07-19 02:00:00
 

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