Evaluation of speech inverse filtering techniques using a physiologically based synthesizer

Abstract

Glottal inverse filtering methods are designed to derive a glottal flow waveform from a speech signal. In this paper, we evaluate and compare such methods using a speech synthesizer that simulates voice production in a physiologically-based manner that includes complexities such as nonlinear source-tract coupling. Five inverse filtering techniques are… (More)
DOI: 10.1109/ICASSP.2015.7178771

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@article{Gunason2015EvaluationOS, title={Evaluation of speech inverse filtering techniques using a physiologically based synthesizer}, author={J{\'o}n Guðnason and Daryush D. Mehta and Thomas F. Quatieri}, journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2015}, pages={4245-4249} }