DocumentCode :
3511693
Title :
Relative pitch estimation of multiple instruments
Author :
Mysore, Gautham J. ; Smaragdis, Paris
Author_Institution :
Center for Comput. Res. in Music & Acoust., Stanford Univ., Stanford, CA
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
313
Lastpage :
316
Abstract :
We present an algorithm based on probabilistic latent component analysis and employ it for relative pitch estimation of multiple instruments in polyphonic music. A multilayered positive deconvolution is performed concurrently on mixture constant-Q transforms to obtain a relative pitch track and timbral signature for each instrument. Initial experimental results on mixtures of two instruments are quite promising and show high levels of accuracy.
Keywords :
acoustic signal processing; musical instruments; statistical analysis; latent component analysis; multilayered deconvolution; multiple instruments; polyphonic music; positive deconvolution; probabilistic analysis; relative pitch estimation; timbral signature; Acoustics; Algorithm design and analysis; Deconvolution; Frequency; Instruments; Music; Power harmonic filters; Signal processing algorithms; Spectrogram; Unsupervised learning; Pitch estimation; Sound mixtures; Unsupervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959583
Filename :
4959583
Link To Document :
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