Browse > Article
http://dx.doi.org/10.5391/JKIIS.2002.12.2.115

Robust Speech Recognition with Car Noise based on the Wavelet Filter Banks  

Lee, Dae-Jong (충북대학교 전기전자 및 컴퓨터공학부 컴퓨터정보통신연구소)
Kwak, Keun-Chang (충북대학교 전기전자 및 컴퓨터공학부 컴퓨터정보통신연구소)
Ryu, Jeong-Woong (충북대학교 전기전자 및 컴퓨터공학부 컴퓨터정보통신연구소)
Chun, Myung-Geun (충북대학교 전기전자 및 컴퓨터공학부 컴퓨터정보통신연구소)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.12, no.2, 2002 , pp. 115-122 More about this Journal
Abstract
This paper proposes a robust speech recognition algorithm based on the wavelet filter banks. Since the proposed algorithm adopts a multiple band decision-making scheme, it performs robustness for noise as the presence of noisy severely degrades the performance of speech recognition system. For evaluating the performance of the proposed scheme, we compared it with the conventional speech recognizer based on the VQ for the 10-isolated korean digits with car noise. Here, the proposed method showed more 9~27% improvement of the recognition rate than the conventional VQ algorithm for the various car noisy environments.
Keywords
Robust speech recognition; wavelet filter bank; car noise;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
1 Suppression of acoustic noise in speech using spectral subtraction /
[ S. F. Boll ] / IEEE Trans. ASSP   DOI
2 Speech recognition in adverse environments /
[ B. H. Juang ] / Computer Speech and Language   DOI
3 Experiments with a nonlinear spectral subtracter (nss), hidden markov models and the projection, for robust speech recognition in cars /
[ P. Lockwood;J. Boudy ] / Speech Commn.   DOI   ScienceOn
4 Evaluation of wavelet filters for speech recognition /
[ Kidae Kim;Dae Hee Youn;Chul hee Lee ] / Systems, Mans, and Cybernetics   DOI
5 Auditory nerve representation as a front end for speech recognition in a noisy environment /
[ O. Ghitza ] / Computer, Speech and Language   DOI
6 Mel-scaled discrete wavelet coefficients for speech recognition /
[ Gowdy, J. N.;Tufekcim, Z. ] / Proc. ICASSP   DOI
7 A new feature in speech recognition based on wavelet transform /
[ Yu Hao;Xiaoyan Zhu ] / Proc. ICASSP   DOI
8 /
[ Stephane Mallat ] / A wavelet tour of signal processing
9 Regression feature for recognition of speech on quiet and in noise /
[ T. H. Applebaun;B. A. Hanson ] / Proc. ICASSP   DOI
10 The Short time modified coherence representation and its application for noisy speech recognition /
[ D. Mansour;B. J. Juang ] / IEEE Trans. ASSP.   DOI   ScienceOn
11 Speech Recognition in the Noisy Car Environment /
[ H. W. Ruehl;S. Dobler;J. Weith;P. Meyer ] / Speech Commun   DOI   ScienceOn
12 /
[ L. R. Rabiner;B. H. Juang ] / Fundamentals of speech recognition
13 Recognition of speech in additive and convolutional noise based on RASTA spectral processing /
[ H. Hermansky;N. Morgan;H. G. Hirsh ] / Proc. ICASSP   DOI
14 A family of distortion measures based upon projection operation for robust speech recognition /
[ D. Mansour;B. J. Juang ] / IEEE Trans. ASSP   DOI   ScienceOn