DocumentCode :
2529193
Title :
A Kalman filter based on wavelet filter-bank and psychoacoustic modeling for speech enhancement
Author :
Shao, Yu ; Chang, Chip-Hong
Author_Institution :
Centre for High Performance Embedded Syst., Nanyang Technol. Univ., Singapore
fYear :
2006
fDate :
21-24 May 2006
Abstract :
This paper presents a subband adaptive filter based on wavelet filter-bank for speech enhancement. The adaptation of Kalman filter in wavelet domain has effectively reduced the non-stationary noise. A perceptual weighting filter exploiting the masking properties of psychoacoustic model is concatenated with the Kalman filter to further improve the intelligibility of speech. The proposed method owns its merits from the successful porting of Kalman filter into the wavelet domain so that speech analysis and enhancement can be carried out in time-frequency spectrum based on the human auditory model. Experimental results show that the speech enhancement system is capable of reducing noise with little speech degradation in adverse noise environments and the overall performance is superior to several competitive methods
Keywords :
Kalman filters; adaptive filters; speech enhancement; speech intelligibility; wavelet transforms; Kalman filter; adverse noise environments; human auditory model; masking properties; nonstationary noise; perceptual weighting filter; psychoacoustic model; speech analysis; speech enhancement; speech intelligibility; subband adaptive filter; time-frequency spectrum; wavelet filter bank; Adaptive filters; Concatenated codes; Noise reduction; Psychoacoustic models; Psychology; Speech coding; Speech enhancement; Wavelet analysis; Wavelet domain; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
Type :
conf
DOI :
10.1109/ISCAS.2006.1692537
Filename :
1692537
Link To Document :
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