A study of line spectrum pair frequencies for speech recognition

Author

Paliwal, R.K.

Author_Institution

Tata Inst. of Fundamental Res., Bombay, India

fYear

1988

fDate

11-14 Apr 1988

Firstpage

485

Abstract

The line spectrum pair (LSP) frequency representation has recently been proposed as an alternative linear prediction (LP) parametric representation. In the context of speech coding, this representation shows better quantization properties than other LP parametric representations. The LSP representation is studied for speech recognition. Several distance measures based on this representation are investigated The weighted LSP distance measure is found to result in the best performance. The performance of the weighted LSP distance measure is compared with that of the other popular LP distance measures (such as the Itakura, cepstral, weighted cepstral, root-power-sum, log area ratio and reflection coefficient distance measures). The weighted LSP distance measure is found to perform significantly better than these popular LP distance measures

Keywords

encoding; filtering and prediction theory; speech analysis and processing; speech recognition; Itakura; cepstral; distance measures; line spectrum pair frequencies; linear prediction; log area ratio; quantization properties; reflection coefficient; root-power-sum; speech coding; speech recognition; weighted cepstral; Cepstral analysis; Context; Frequency; Nonlinear filters; Polynomials; Speech analysis; Speech coding; Speech recognition; Time measurement; Weight measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196624

Filename

196624