DocumentCode :
768880
Title :
Quantization of LSF parameters using a trellis modeling
Author :
Lahouti, Farshad ; Khandani, Amir K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Ont., Canada
Volume :
11
Issue :
5
fYear :
2003
Firstpage :
400
Lastpage :
412
Abstract :
An efficient block-based trellis quantization (BTQ) scheme is proposed for the quantization of the line spectral frequencies (LSF) in speech coding applications. The scheme is based on the modeling of the LSF intraframe dependencies with a trellis structure. The ordering property and the fact that LSF parameters are bounded within a range is explicitly incorporated in the trellis model. BTQ search and design algorithms are discussed and an efficient algorithm for the index generation (finding the index of a path in the trellis) is presented. Also the sequential vector decorrelation technique is presented to effectively exploit the intraframe correlation of LSF parameters within the trellis. Based on the proposed block-based trellis quantizer, two intraframe schemes and one interframe scheme are proposed. Comparisons to the split-VQ, the trellis coded quantization of LSF parameters, and the multi-stage VQ, as well as the interframe scheme used in IS-641 EFRC and the GSM AMR codec are provided. These results demonstrate that the proposed BTQ schemes outperform the above systems.
Keywords :
decorrelation; quantisation (signal); search problems; spectral analysis; speech codecs; speech coding; trellis codes; BTQ design algorithms; BTQ search algorithm; GSM AMR codec; IS-641 EFRC; LSF intraframe dependencies; LSF parameters quantization; block-based trellis quantization; efficient algorithm; index generation; interframe scheme; intraframe correlation; intraframe schemes; line spectral frequencies; multi-stage VQ; ordering property; sequential vector decorrelation technique; speech coding; split-VQ; trellis coded quantization; trellis modeling; trellis structure; Algorithm design and analysis; Codecs; Decorrelation; Filters; Frequency; GSM; Linear predictive coding; Quantization; Speech analysis; Speech coding;
fLanguage :
English
Journal_Title :
Speech and Audio Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6676
Type :
jour
DOI :
10.1109/TSA.2003.814411
Filename :
1223590
Link To Document :
بازگشت