Estimation of the glottal flow from speech pressure signals: Evaluation of three variants of iterative adaptive inverse filtering using computational physical modelling of voice production

Publication date: Available online 12 September 2018Source: Speech CommunicationAuthor(s): Parham Mokhtari, Brad Story, Paavo Alku, Hiroshi AndoAbstractThe aim of this study is to comparatively review and evaluate three variants of the glottal inverse filtering algorithm based on iterative adaptive inverse filtering (IAIF): the Standard algorithm, and two recently proposed variants that use iterative optimal preemphasis (IOP) and a glottal flow model (GFM), respectively. To enable an objective evaluation, a computational physical model of voice production is used to generate time-domain signals pertaining to both the input glottal flow and the output speech pressure, for a wide range of vowels, fundamental frequencies, and voice qualities (involving co-variation of phonation type and loudn...

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