Detection of the glottal closure by jumps in the statistical properties of the speech signal

Two new methods are presented here for the detection of the glottal closure instant from the speech waveform. Both detect abrupt changes in the short-term spectral characteristics of the speech signal within a pitch period caused by glottal events. The same statistical approach to the sequential detection of events by hypothesis testing is used for this purpose. The first method is based on the maximization of the likelihood ratio, while the second uses a divergence convexity test. Experiments on real speech data demonstrate the robust of these methods.