A comparison of a wavelet functions for pitch detection of speech signals

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Abstract
The authors compare the relative performances of linear phase wavelets and minimum phase wavelets for the estimation of pitch periods using an event detection algorithm based upon the dyadic wavelet transform (D/sub y/WT). They apply the D/sub y/WT to detect the glottal closure, which they define as an event, and estimate the pitch period by measuring the time interval between two such events. Comparative examples are given of applying the D/sub y/WT using both linear phase and minimum phase wavelets on synthetic as well as actual speech data to evaluate their relative performance in pitch detection. The D/sub y/WT pitch detector using a spline wavelet gives the best results.

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