LD-CELP speech coding with nonlinear prediction

Author

Kumar, Arun ; Gersho, Allen

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA

Volume

4

Issue

4

fYear

1997

fDate

4/1/1997 12:00:00 AM

Firstpage

89

Lastpage

91

Abstract

A technique for nonlinear prediction of speech via local linear prediction (LLP) is presented and applied to LD-CELP at 16 kbps. With 18th-order backward adaptive LLP for voiced frames, the hybrid LD-CELP coder gives higher segmental signal-to-noise ratio (SNR) compared to a reference version of the ITU-T G.728 LD-CELP algorithm, which has a 50th-order backward adaptive linear predictor. The computational complexity for LLP analysis is significantly less than that of a conventional one-step recursive LLP, and the LLP method gives better prediction gain and a remarkably "whiter" residual compared to backward adaptive linear predictor. With an appropriate state space neighborhood for local linear analysis, the short-delay predictor is also able to effectively model long-term correlations without requiring pitch estimation.

Keywords

computational complexity; linear predictive coding; speech codecs; speech coding; state-space methods; 16 kbit/s; LD-CELP speech coding; LLP analysis; backward adaptive linear predictor; computational complexity; hybrid coder; local linear prediction; low delay codec; nonlinear prediction; segmental signal-to-noise ratio; short-delay predictor; state space neighborhood; voiced frames; Bit rate; Computational complexity; Impedance; Optimization methods; Performance gain; Predictive models; Signal to noise ratio; Speech coding; State estimation; State-space methods;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.566697

Filename

566697