Split matrix quantization of LPC parameters

作     者：Xydeas, CS Papanastasiou, C 

作者机构：Univ Manchester Manchester Sch Engn Elect Engn Div Speech Proc Res Lab Manchester M13 9PL Lancs England 

出 版 物：《IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING》 (IEEE Trans Speech Audio Process)

年 卷 期：1999年第7卷第2期

页      面：113-125页

核心收录：

主　　题：low bit rate speech coding LPC quantization spectral quantization 

摘      要：This paper examines in detail the design issues and performance characteristics of linear predictive coding (LPC) split matrix quantization (SMQ), This efficient LPC quantization method which was recently proposed by the authors [1] can be viewed as an extension of the conventional split vector quantization (SVQ) process. SMQ removes existing interframe/intraframe line spectral frequency (LSF) redundancy by applying VQ principles on trajectories of smoothly evolving, with time, LSF coefficients. Using a 20 ms LPC analysis frame size, transparent quantization is achieved at 900 b/s, whereas high quality LSF quantization is easily obtained at 650 b/s, Furthermore, the SMQ methodology offers valuable flexibility in the way quantization of LPC coefficients is performed and leads into several schemes of varying computational complexity/storage characteristics.