Evaluation of an inverse filtering technique using physical modeling of voice production

Abstract

Glottal flows and sound pressure waveforms of four different fundamental frequencies were generated using a computational model of vocal fold vibration and acoustic wave propagation in order to evaluate the performance of an inverse filtering method. Four time-based parameters of the glottal flow were used in order to assess the accuracy of the inverse filtering technique. The results show that for most of the cases analyzed the relative error was less than 5 % when the time-based parameters extracted from the estimated glottal flows were compared to those obtained from the original flow waveforms produced by the physical model of the vocal fold vibration.