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http://dx.doi.org/10.13067/JKIECS.2011.6.2.186

Improvement of the Linear Predictive Coding with Windowed Autocorrelation  

Lee, Chang-Young (동서대학교 시스템경영공학과)
Lee, Chai-Bong (동서대학교 전자공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.6, no.2, 2011 , pp. 186-192 More about this Journal
Abstract
In this paper, we propose a new procedure for improvement of the linear predictive coding. To reduce the error power incurred by the coding, we interchanged the order of the two procedures of windowing on the signal and linear prediction. This scheme corresponds to LPC extraction with windowed autocorrelation. The proposed method requires more calculational time because it necessitates matrix inversion on more parameters than the conventional technique where an efficient Levinson-Durbin recursive procedure is applicable with smaller parameters. Experimental test over various speech phonemes showed, however, that our procedure yields about 5 % less power distortion compared to the conventional technique. Consequently, the proposed method in this paper is thought to be preferable to the conventional technique as far as the fidelity is concerned. In a separate study of speaker-dependent speech recognition test for 50 isolated words pronounced by 40 people, our approach yielded better performance too.
Keywords
Linear Predictive Coding (LPC); Windowed Autocorrelation; Signal Processing; Distortion; Speech Recognition;
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