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Re: recognizing a source by its harmonic structure
Some other references are:
Fujinaga, I. 1998. "Machine recognition of timbre using steady-state
tone of acoustic musical instruments", Proc. 1998 Int. Computer Music
Conf., pp. 207-210.
Fraser, A. and Fujinaga, I. 1999. "Toward real-time recognition of
acoustic musical instruments", Proc. 1999 Int. Computer Music Conf.,
Fujinaga, I. and MacMillan, K. 2000. "Realtime recognition of
orchestra instruments", Proc. 2000 Int. Computer Music Conf.,
Kostek, Bozena. 1999. Soft Computing in Acoustics: Applications of
Neural Networks, Fuzzy Logic and Rough Sets to Musical Acoustics,
ISBN 3-7908-1190-4, Physica-Verlag, Heidelberg & New York (243 pp.)
The Int. Computer Music Conf. (ICMC) proceedings can be accessed
online at http://www.computermusic.org, but you have to first join the
Int. Computer Music Assn. (ICMA) (again on-line).
The Kostek book includes a section on "Musical Signal Representation"
(including spectral and time-frequency representations) and a chapter
on "Automatic classification of musical instrument sounds".
Univ. of Illinois at Urbana-Champaign
----- Original Message -----
From: "Gregoire, Jerry" <jgregoire@ECE.MONTANA.EDU>
Sent: Thursday, June 26, 2003 10:33 PM
Subject: recognizing a source by its harmonic structure
> Does anyone know of work done that categorizes sources by patterns in
> their harmonic structure.
> An example would be to separate a guitar from a flute using the harmonic
> relationships of f0, f1, f2, ... of a guitar compared to the flute's
> Jerry Gregoire