Classification of piano sounds using time-frequency signal analysis

Author

Delfs, Christoph ; Jondral, Friedrich

Author_Institution

Nachrichtensyst., Karlsruhe Univ., Germany

Volume

3

fYear

1997

fDate

21-24 Apr 1997

Firstpage

2093

Abstract

A topical task is the classification of burst-like signals, e.g. in signal detection. Piano sounds are used here as an example. Different time-frequency methods including wavelet processing are used alternatively for feature extraction. A classifier checks whether the generated features are sufficient to identify the correct piano. Results of the real data signal processing are presented and discussed

Keywords

acoustic signal detection; acoustic signal processing; electronic music; feature extraction; music; musical instruments; pattern classification; signal representation; time-frequency analysis; wavelet transforms; burst like signals; feature extraction; piano sounds classification; real data signal processing; signal detection; time-frequency methods; time-frequency representation; time-frequency signal analysis; wavelet processing; Feature extraction; Filter bank; Flowcharts; Fourier transforms; Signal analysis; Signal processing; Time frequency analysis; Wavelet analysis; Wavelet packets; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on

Conference_Location

Munich

ISSN

1520-6149

Print_ISBN

0-8186-7919-0

Type

conf

DOI

10.1109/ICASSP.1997.599361

Filename

599361