Audio noise classification using bark scale features and K-NN technique cherdchai eamdeelerd

Songwatana, Kraisin

doi:10.1109/ISCIT.2008.4700168

Audio noise classification using bark scale features and K-NN technique cherdchai eamdeelerd

Author(s)

Songwatana, Kraisin

Date Issued

December 1, 2008

Type

Conference Paper

DOI

10.1109/ISCIT.2008.4700168

Abstract

This paper presents the audio noise classification using Bark scale features and K-NN technique. This paper uses audio noise signal from NOISEX-92 (12 types) [1]. We etermine the transfer functions from linear predictive coding (LPC) coefficient of noise signal on Bark scale and use K-NN technique to classify them. The results will be used for optimization of speech recognition model in the presence of noise. The highest average accuracy for audio noise classification is obtained when K=3 and median over 5 consecutive frames.© 2008 IEEE.

Citation

2008 International Symposium on Communications and Information Technologies Iscit 2008, 131-134, 2008