Title :
A study of line spectrum pair frequencies for speech recognition
Author_Institution :
Tata Inst. of Fundamental Res., Bombay, India
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location :
New York, NY
DOI :
10.1109/ICASSP.1988.196624
