Title :
Complexity reduced shape VQ of spectral envelope with perception consideration
Author :
Wang, Mu-Liang ; Yang, Jar-Ferr
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
The parametric coders provide a good communication quality at low bit rate. Efficient encoding of variable dimension harmonic spectral envelope is an essential task in parametric speech coders. In this paper, we propose an efficient vector quantization (VQ) scheme with perception consideration to improve the performance of parametric speech coders. With the benefit of reduction in dimension, the computational complexity of spectral envelope VQ (SEVQ) has been reduced while the speech quality is retained. Experimental results show that the proposed perceptual SEVQ method significantly reduces the computational complexity of SEVQ by a factor of 9.
Keywords :
linear predictive coding; spectral analysis; speech coding; vector quantisation; vocoders; SEVQ; communication quality; computational complexity; encoding; parametric coders; parametric speech coders; perception consideration; performance; spectral envelope VQ; speech quality; variable dimension harmonic spectral envelope; vector quantization; Computational complexity; Encoding; Frequency conversion; Humans; Linear predictive coding; MPEG 4 Standard; Power harmonic filters; Shape; Speech; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on
Print_ISBN :
0-7803-7663-3
DOI :
10.1109/ICASSP.2003.1198899