Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
Junchen Du , Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
S.P. Kim , Dept. of Electr. Eng., Polytechnic Univ., Brooklyn, NY, USA
We investigate a time-frequency domain vector quantization approach for low bit rate speech coding. The well known CELP standard provides an efficient representation of a speech signal in units of a frame length (30 ms) using an all-pole speech model. For most efficient speech compression, inter and intraframe correlations of speech parameters should be exploited. This observation previously lead to multiframe coding with interpolation, or LSP prediction. But such linear modeling approaches suffer from the nonlinear speech parameter dynamics. The proposed approach eliminates such problems while exploiting intra and interframe correlations. Computer simulations demonstrate significantly improved compression performance (1.5-2 bits/frame) under a given spectral distortion.<
vector quantisation, speech coding, time-frequency analysis, linear predictive coding
Junchen Du and S. Kim, "Vector quantization of speech parameters in the time-frequency domain," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 1227-1231.