Analysis of glottal waveforms across stress styles

Results from a study of glottal waveforms derived from 11 different styles of stressed speech are described. The general goal of this research is to investigate the differences in the glottal excitation across specific speaking styles. Using a glottal inverse filtering method tailored specifically for the speech under study, an analysis of glottal waveforms from voiced speech spoken under various conditions is performed. The extracted waveforms are parameterized using six descriptors, and statistical analysis of the resulting database allows very good characterization of each style with respect to these parameters. Specifically, each style is shown to have a unique profile which will allow high performance in a stress style identification task.<<ETX>>

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