| Publication Type | | Conference Paper |
| Year of Publication | | 2007
|
| Authors | | Arshia Cont; Shlomo Dubnov; David Wessel |
| Conference Name | | 10th International Conference on Digital Audio Effects (DAFx-07)
|
| Pagination | | 85-92
|
| Abstract | | In this paper we introduce a simple and fast method for realtime
recognition of multiple pitches produced by multiple musical in-
struments. Our proposed method is based on two important facts:
(1) that timbral information of any instrument is pitch-dependant
and (2) that the modulation spectrum of the same pitch seems to re-
sult into a persistent representation of the characteristics of the in-
strumental family. Using these basic facts, we construct a learning
algorithm to obtain pitch templates of all possible notes on vari-
ous instruments and then devise an online algorithm to decompose
a realtime audio buffer using the learned templates. The learn-
ing and decomposition proposed here are inspired by non-negative
matrix factorization methods but differ by introduction of an ex-
plicit sparsity control. Our test results show promising recognition
rates for a realtime system on real music recordings. We discuss
further improvements that can be made over the proposed system.
|
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