Publications

cont07d

Summary

Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints. Arshia Cont, Shlomo Dubnov and David Wessel. In Proceedings of Digital Audio Effects Conference (DAFx), October 2007.

Abstract

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.

BIBT_EX entry

@INPROCEEDINGS { cont07d,
    AUTHOR = { Arshia Cont and Shlomo Dubnov and David Wessel },
    BOOKTITLE = { Proceedings of Digital Audio Effects Conference (DAFx) },
    MONTH = { October },
    PDF = { http://cosmal.ucsd.edu/arshia/papers/ArshiaCont_DAFX07.pdf },
    PUBLISHER = { Bordeaux },
    TITLE = { Realtime Multiple-pitch and Multiple-instrument Recognition For Music Signals using Sparse Non-negative Constraints },
    YEAR = { 2007 },
}