Fast and accurate pitch detection using pattern recognition and adaptive time-domain analysis

A method of determining pitch and voicing information from speech signals is presented. The algorithm, which employs time-domain analysis and pattern recognition techniques, is fast and yields accurate pitch and voicing estimates. A search routine is employed to find periodicity in each of four signals derived from the speech waveform and the results are combined to form a pitch estimate. The voicing decision uses linear discriminant analysis, and declares speech frames voiced or unvoiced based on a weighted sum of 13 parameters. Performance comparisons with other pitch detectors are reported.