Title :
Performance bounds for LPC spectrum quantization
Author :
Hedelin, Per ; Skoglund, Jan ; Samuelsson, Jonas
Author_Institution :
Inf. Theory, Chalmers Univ. of Technol., Goteborg, Sweden
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759757
