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Perceptual equivalence of the Liljencrants–Fant and linear-filter glottal flow models

Perceptual equivalence of the Liljencrants–Fant and linear-filter glottal flow models

Perrotin, Olivier, Feugère, Lionel ORCID: 0000-0003-0883-5224 and d'Alessandro, Christophe (2021) Perceptual equivalence of the Liljencrants–Fant and linear-filter glottal flow models. The Journal of the Acoustical Society of America, 150 (2):1273. ISSN 0001-4966 (doi:https://doi.org/10.1121/10.0005879)

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Abstract

Speech glottal flow has been predominantly described in the time-domain in past decades, the Liljencrants–Fant (LF) model being the most widely used in speech analysis and synthesis, despite its computational complexity. The causal/ anti-causal linear model (LFCALM) was later introduced as a digital filter implementation of LF, a mixed-phase spectral model including both anti-causal and causal filters to model the vocal-fold open and closed phases, respectively. To further simplify computation, a causal linear model (LFLM) describes the glottal flow with a fully causal set of filters. After expressing these three models under a single analytic formulation, we assessed here their perceptual consistency, when driven by a single parameter Rd related to voice quality. All possible paired combinations of signals generated using six Rd levels for each model were presented to subjects who were asked whether the two signals in each pair differed. Model pairs LFLM–LFCALM were judged similar when sharing the same Rd value, and LF was considered the same as LFLM and LFCALM given a consistent shift in Rd. Overall, the similarity between these models encourages the use of the simpler and more computationally efficient models LFCALM and LFLM in speech synthesis applications.

Item Type: Article
Uncontrolled Keywords: glottal flow model, speech synthesis, singing synthesis, voice perception
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QM Human anatomy
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Faculty of Engineering & Science > Natural Resources Institute > Pest Behaviour Research Group
Last Modified: 14 Sep 2021 11:31
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/33628

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