EUROSPEECH 2001 Scandinavia
7th European Conference on Speech Communication and Technology

Aalborg, Denmark
September 3-7, 2001


Low rate speech coding incorporating Simultaneously Masked Spectrally Weighted Linear Prediction

J. Lukasiak, I. S. Burnett, C. H. Ritz

University of Wollonggong, Australia

Linear prediction (LP) is the cornerstone of most modern speech compression algorithms. Previously it has been shown that incorporating a weighting function based on the simultaneous masking property of the ear into the calculation of the LP coefficients (SMWLPC) allows the filter to better model the unmasked sections of the input spectrum. This paper conducts a detailed analysis of the implementation of SMWLPC in low rate speech codecs. The analysis allows the cause of inconsistencies in the technique to be identified and solutions formulated. Experimental results show that when combined with the proposed changes, the SMWLPC technique is suitable for implementation in any low rate LP based speech codec and the net result is an improvement in the perceptual quality of synthesised speech for all speakers.

Full Paper

Bibliographic reference.  Lukasiak, J. / Burnett, I. S. / Ritz, C. H. (2001): "Low rate speech coding incorporating simultaneously masked spectrally weighted linear prediction", In EUROSPEECH-2001, 1989-1992.