Paper Info
Title
Vector quantization and perceptual criteria in SVD based CELP coders
Abstract
Experiments in which singular value decomposition (SVD) is applied to code excited linear prediction (CELP) coders are presented. This means that the concept of selection of the optimum innovation pattern through an analysis by synthesis (ABS) method can be replaced by a weighted mean-squared-error computation in a transformed domain. The transformed signal is obtained by representing the residual signal on the orthonormal basis obtained by SVD of the matrix of the truncated linear predictive coding (LPC) filter's impulse response. The weighting consists of the vector gain and the singular values (SVs) of the matrix. The characteristic of the SVD approach is that the excitation signal is represented as a linear combination of orthonormal signals whose spectra show characteristics quite similar to those of bandpass filters. Moreover, errors in the amplitude of each component at the filter input reflect errors only in the corresponding components at the filter output, weighted by the associated SV. This characteristic can be exploited by incorporating a simplified auditory model to determine the subjective importance of the singular value components
Year
DOI
Venue
1990
10.1109/ICASSP.1990.115530
Albuquerque, NM
Keywords
DocType
ISSN
bandwidth compression,encoding,speech analysis and processing,svd based celp coders,code excited linear prediction,linear combination of orthonormal signals,perceptual criteria,simplified auditory model,singular value decomposition,speech encoding,transformed domain,truncated linear predictive coding,vector quantization,weighted mean-squared-error computation,bandpass filter,singular value,pattern analysis,band pass filters,analysis by synthesis,transfer functions,impulse response,linear predictive coding,speech synthesis
Conference
1520-6149
Citations 
PageRank 
References 
0
0.34
2
Authors
3
Name
Order
Citations
PageRank
Drogo de Iacovo, R.100.34
Montagna, R.282.25
Sereno, D.371.86