The present work contributes to the field of generalized sound classification. We extensively examine the performance of the next three feature sets: a) MPEG-7 Audio Spectrum Projection, b) MFCC (using an alternative method for their extraction) and c) a group derived utilizing critical band based wavelet packets. Subsequently three types of tem poral feature integration strategies are applied on the extracted instant values: a) short-term statistics, b) spectral moments and c) two autoregressive functions. During the experimental phase, we organize ten sound classes using professional sound effects collections of high quality. The density of each category is approximated with left-right hidden Markov models. Comparable results with respect to all the feature sets as well as integration methods are provided, which demonstrate the superiority of the short-term statistics method. ©2010 IEEE.

Sound classification based on temporal feature integration

NTALAMPIRAS, STAVROS;
2010

Abstract

The present work contributes to the field of generalized sound classification. We extensively examine the performance of the next three feature sets: a) MPEG-7 Audio Spectrum Projection, b) MFCC (using an alternative method for their extraction) and c) a group derived utilizing critical band based wavelet packets. Subsequently three types of tem poral feature integration strategies are applied on the extracted instant values: a) short-term statistics, b) spectral moments and c) two autoregressive functions. During the experimental phase, we organize ten sound classes using professional sound effects collections of high quality. The density of each category is approximated with left-right hidden Markov models. Comparable results with respect to all the feature sets as well as integration methods are provided, which demonstrate the superiority of the short-term statistics method. ©2010 IEEE.
Final Program and Abstract Book - 4th International Symposium on Communications, Control, and Signal Processing, ISCCSP 2010
9781424462858
9781424462858
Computer Networks and Communications; Signal Processing; Electrical and Electronic Engineering
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1004430
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