DocumentCode :
3510969
Title :
Polyphonic musical instrument recognition based on a dynamic model of the spectral envelope
Author :
Burred, Juan José ; Röbel, Axel ; Sikora, Thomas
Author_Institution :
Anal./Synthesis Team, IRCAM, Paris
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
173
Lastpage :
176
Abstract :
We propose a new method for detecting the musical instruments that are present in single-channel mixtures. Such a task is of interest for audio and multimedia content analysis and indexing applications. The approach is based on grouping sinusoidal trajectories according to common onsets, and comparing each group´s overall amplitude evolution with a set of pre-trained probabilistic templates describing the temporal evolution of the spectral envelopes of a given set of instruments. Classification is based on either an Euclidean or a probabilistic definition of timbral similarity, both of which are compared with respect to detection accuracy.
Keywords :
audio signal processing; indexing; multimedia computing; musical instruments; pattern recognition; audio content analysis; dynamic model; indexing application; multimedia content analysis; musical instrument detection; polyphonic musical instrument recognition; single channel mixture; sinusoidal trajectory; spectral envelope; Covariance matrix; Gaussian processes; Hidden Markov models; Indexing; Instruments; Matrix decomposition; Music information retrieval; Principal component analysis; Prototypes; Timbre; Gaussian Processes; Music Information Retrieval; Musical instrument classification; spectral envelope;
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.2009.4959548
Filename :
4959548
Link To Document :
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