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Design of the Vector-Scalar Quantizer of LSP Parameters for Wideband Speech Coder  

신재현 (충북대학교 전파공학과, 컴퓨터정보통신연구소)
이인성 (충북대학교 전기전자컴퓨터공학부, 컴퓨터정보통신연구소)
지덕구 (한국전자통신연구원 이동통신연구소)
윤병식 (한국전자통신연구원 이동통신연구소)
최송인 (한국전자통신연구원 이동통신연구소)
Publication Information
Abstract
In this Paper, we designed an LSP(Line Spectral Pairs) parameter quantizer with cascaded structure of vector quantizer and scalar quantizer for the wideband speech coder. We have chosen the 16th-order of the LP coefficients. These coefficients are then transformed into the LSP parameters which have the excellent properties for quantization and easy stability checking condition of synthesis filter. In the first stage of quantization, input LSP parameters are split-vector-quantized using two 8-th order codebooks. In the second stage, the components of residual vector are individually quantized by the scalar quantizer utilizing the ordering property of LSP parameters. The designed adaptive VQ-SQ quantizer using 35 bits/frame shows the wideband transparency that the average spectral distortion should be less than 1.6 ㏈ and less than 4% of the frames should have SD above 3 ㏈. The simulation results show that the designed quantizer provides a 2-3 bits/frame saving over the typical vector-scalar quantizer.
Keywords
AMR-WB; LSP Parameter Quantizer; Speech Code; Vector-scalar Quantization;
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