Title :
A novel method for wavelet quantization of noisy speech
Author :
Madhukumar, A.S. ; Premknmar, A.B. ; Abut, H.
Author_Institution :
Centre for Wireless Commun., Singapore
Abstract :
This paper proposes an architecture for low bit rate coding of noisy speech. The input noisy speech is decomposed into multiresolution signal components using the wavelet transform. An iterative Wiener filtering is used at each level of wavelet analysis to enhance speech. The system model that evolves during enhancement is processed further to get optimal parameters for the quantization. A multistage vector quantizer is used for compression of the decomposed speech. The enhanced speech is reconstructed at the receiving end by a VQ decoder and the necessary wavelet reconstruction network. The speech coding rate for the proposed architecture is estimated to be about 2.37 kbps
Keywords :
AWGN; Wiener filters; autoregressive moving average processes; decoding; discrete wavelet transforms; filtering theory; iterative methods; signal reconstruction; signal resolution; speech coding; speech enhancement; vector quantisation; 2.37 kbit/s; ARMA modeling; AWGN; VQ decoder; additive white Gaussian noise; decomposed speech compression; discrete wavelet transforms; iterative Wiener filtering; low bit rate coding; multiresolution signal components; multistage vector quantizer; noisy speech; optimal parameters; speech coding; speech coding rate; speech enhancement; speech intelligibility; speech reconstruction; system model; wavelet analysis; wavelet quantization; wavelet reconstruction network; Bit rate; Decoding; Quantization; Signal resolution; Speech analysis; Speech coding; Speech enhancement; Wavelet analysis; Wavelet transforms; Wiener filter;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818370
