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Classified vector quantization of LPC parameters
Authors:Mu‐Liang Wang  Jar‐Ferr Yang
Affiliation:1. Department of Electronic Engineering , Kao Yuan University , Kaohsiung 821, Taiwan;2. Institute of Computer and Communication Engineering, Department of Electrical Engineering , National Cheng Kung University , Tainan 701, Taiwan Phone: 886–6–2757575 ext. 62362 Fax: 886–6–2757575 ext. 62362 E-mail: jfyang@ee.ncku.edu.tw
Abstract:Abstract

To achieve high coding efficiency, modern speech coders adopt hybrid coding approaches, which utilize different coding mechanisms for various classified speech segments. With known voiced/unvoiced detection, in this paper, a classified LPC quantization (CLPQ) scheme is presented to effectively encode line spectral frequencies (LSF). The proposed CLPQ scheme improves the performance of the classified LSF vector quantizer, which adopts two LSF codebooks derived separately from voiced and unvoiced speech frames. With an objective spectral distortion measure, the CLPQ scheme successfully reduces the bit rate by about 1 bit/frame. Many classified LSF quantizers with different codebook structures and bit rates were evaluated. It would be helpful to design a classified LSF quantizer, which arrives at a compromise between distortion, bit rate and computational complexity.
Keywords:speech coding  LPC quantization  line spectral frequency
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