On the robustness of audio features for musical instrument classification

European Signal Processing Conference

Volumn , Issue , 2008, Pages

  Wegener, S ^a   Haller, M ^a   Burred, J J ^a,c   Sikora, T ^a   Essid, S ^b   Richard, G ^b  

^a TECHNISCHE UNIVERSITÄT BERLIN   (Germany)

^b TELECOM PARISTECH   (France)

^c IRCAM   (France)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FEATURES; GAUSSIAN MIXTURE MODELS; LOW LEVEL DESCRIPTORS; LOW-PASS FILTERING; PERCEPTUAL FEATURE; QUALITATIVE EVALUATIONS; SELECTION TECHNIQUES; SIGNAL MODIFICATION; STATISTICAL PARAMETERS;

EXPERIMENTS; MOTION PICTURE EXPERTS GROUP STANDARDS; SIGNAL PROCESSING;

WHITE NOISE;

EID: 84863772414     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

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2. P. Herrera-Boyer, A. Klapuri, and M. Davy, "Automatic classification of pitched musical instrument sounds," in Signal Processing Methods for Music Transcription, pp. 163-200. Springer, 2006.
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