Low-complexity predictive trellis-coded quantization of speech line spectral frequencies

Author

Kang, Sangwon ; Shin, Yongwon ; Fischer, Thomas R.

Author_Institution

Sch. of Electr. Eng. & Comput. Sci., Hanyang Univ., Kyunggi-Do, South Korea

Volume

52

Issue

7

fYear

2004

fDate

7/1/2004 12:00:00 AM

Firstpage

2070

Lastpage

2079

Abstract

Low-complexity block-constrained trellis coded quantization (BC-TCQ) structures are studied, and a predictive BC-TCQ encoding method is developed for quantization of line spectrum frequency (LSF) parameters for speech coding applications. The performance is compared with the linear predictive coding (LPC) vector quantizers used in the AMR-WB (ITU-G.722.2) and IS-641 speech coding standards, demonstrating reduction in spectral distortion (SD) and significant reduction in encoding complexity.

Keywords

linear predictive coding; spectral analysis; speech coding; trellis codes; vector quantisation; AMR-WB standard; BC-TCQ encoding; IS-641 standard; ITU-G.722.2 standard; LPC; LSF parameters; line spectrum frequency parameters; linear predictive coding vector quantizers; low-complexity block-constrained trellis coded quantization; narrowband speech; predictive coding; speech coding; tail-biting approach; wideband speech; Computer science; Convolutional codes; Costs; Encoding; Frequency; Lattices; Linear predictive coding; Quantization; Rate-distortion; Speech coding;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/TSP.2004.828916

Filename

1306657