Embedded algebraic vector quantizers (EAVQ) with application to wideband speech coding

Author

Xie, Minjie ; Adoul, Jean-Pierre

Author_Institution

Dept. of Electr. & Comput. Eng., Sherbrooke Univ., Que., Canada

Volume

1

fYear

1996

fDate

7-10 May 1996

Firstpage

240

Abstract

A new lattice vector quantization scheme, namely embedded algebraic vector quantizers (EAVQ), is proposed. This scheme makes use of spherical subsets of the rotated Gosset lattice RE₈ to constitute a vector-quantizer codebook. The codebook consists of several sub-codebooks and has an embedded structure. The codewords can be generated using an algebraic method and do not have to be stored. In combination with transform coded excitation (TCX) coding, this quantization technique is applied to 16 kbps wideband speech coding in order to quantize the so-called target signal in the frequency domain. Compared to a stochastic complex vector quantization scheme, EAVQ can achieve better performance and lead to significant savings of memory requirements

Keywords

algebraic codes; speech coding; transform coding; vector quantisation; 16 kbit/s; algebraic method; codewords; embedded algebraic vector quantizers; embedded structure; frequency domain; lattice vector quantization; memory requirements; performance; rotated Gosset lattice; spherical subsets; stochastic complex vector quantization; subcodebooks; target signal; transform coded excitation; vector quantizer codebook; wideband speech coding; Application software; Bit rate; Encoding; Frequency domain analysis; Indexing; Lattices; Speech coding; Stochastic processes; Vector quantization; Wideband;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1520-6149

Print_ISBN

0-7803-3192-3

Type

conf

DOI

10.1109/ICASSP.1996.540335

Filename

540335