Performance bounds for LPC spectrum quantization

Author

Hedelin, Per ; Skoglund, Jan ; Samuelsson, Jonas

Author_Institution

Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden

Volume

2

fYear

1999

fDate

15-19 Mar 1999

Firstpage

677

Abstract

This paper presents a method for obtaining numerical estimates of high rate vector quantization (VQ) performance suitable for sources for which the PDF is not analytically available. In the proposed method, the VQ point density is described from a Gaussian mixture model optimized for the data. Employing this method for LPC spectrum quantization, we obtain high rate expressions for both the average spectral distortion (SD) and the distribution function of the SD. We estimate the minimum bits required for a quantizer to obtain an average SD of 1 dB and the outlier statistics for that quantizer. We find that approximately 3 bits can be saved as compared to a 2-split LSF-based vector quantizer

Keywords

Gaussian processes; linear predictive coding; parameter estimation; signal representation; spectral analysis; speech coding; vector quantisation; 2-split LSF-based vector quantizer; Gaussian mixture model; LPC spectrum quantization; PDF; VQ point density; average spectral distortion; cepstral representation; distribution function; high rate vector quantization; numerical estimates; outlier statistics; performance bounds; speech signal; Algorithm design and analysis; DH-HEMTs; Histograms; Information analysis; Information theory; Linear predictive coding; Performance analysis; Signal analysis; Speech; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on

Conference_Location

Phoenix, AZ

ISSN

1520-6149

Print_ISBN

0-7803-5041-3

Type

conf

DOI

10.1109/ICASSP.1999.759757

Filename

759757