Coding the line spectral frequencies by jointly optimized MA prediction and vector quantization

Author

Shoham, Yair

Author_Institution

Dept. of Acoust. & Speech Res., Lucent Technol., Murray Hill, NJ, USA

fYear

1999

fDate

1999

Firstpage

46

Lastpage

48

Abstract

This paper presents a method for designing and optimizing predictive vector quantizers (PVQ) for coding the line spectral frequencies (LSF) in LPC-based speech and audio coders. The algorithm is based on iterative optimization of the predictors and the vector-quantizer codebooks. It is shown that the proposed method yields high quality LSF predictive quantizers with performance exceeding that of the PVQ used in the G.729 standard

Keywords

iterative methods; linear predictive coding; moving average processes; optimisation; spectral analysis; speech coding; vector quantisation; vocoders; G.729 standard; LPC-based audio coders; LPC-based speech coders; PVQ; algorithm; high quality LSF predictive quantizers; iterative optimization; jointly optimized MA prediction; line spectral frequencies coding; performance; predictive vector quantizers; vector quantization; vector-quantizer codebooks; Acoustics; Design methodology; Encoding; Frequency; Iterative algorithms; Predictive coding; Redundancy; Speech coding; Speech recognition; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Speech Coding Proceedings, 1999 IEEE Workshop on

Conference_Location

Porvoo

Print_ISBN

0-7803-5651-9

Type

conf

DOI

10.1109/SCFT.1999.781479

Filename

781479