음성과학 (Speech Sciences)
- 제11권4호
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- Pages.17-28
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- 2004
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- 1226-5276(pISSN)
Statistical Error Compensation Techniques for Spectral Quantization
- Choi, Seung-Ho (Dept. of Electronics and Information Eng., Seoul National University of Technology) ;
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Kim, Hong-Kook
(Dept. of Information and Communications, Gwangju Institute of Science and Technology (GIST))
- 발행 : 2004.12.01
초록
In this paper, we propose a statistical approach to improve the performance of spectral quantization of speech coders. The proposed techniques compensate for the distortion in a decoded line spectrum pairs (LSP) vector based on a statistical mapping function between a decoded LSP vector and its corresponding original LSP vector. We first develop two codebook-based probabilistic matching (CBPM) methods based on linear mapping functions according to different assumption of distribution of LSP vectors. In addition, we propose an iterative procedure for the two CBPMs. We apply the proposed techniques to a predictive vector quantizer used for the IS-641 speech coder. The experimental results show that the proposed techniques reduce average spectral distortion by around 0.064dB.