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Finding Intelligible Consonant-Vowel Sounds Using High-Quality Articulatory Synthesis

van Niekerk, DR; Xu, A; Gerazov, B; Krug, PK; Birkholz, P; Xu, Y; (2020) Finding Intelligible Consonant-Vowel Sounds Using High-Quality Articulatory Synthesis. In: Meng, H and Xu, B and Zheng, T, (eds.) Proceedings of Interspeech 2020. (pp. pp. 4457-4461). International Speech Communication Association (ISCA): Shanghai, China. Green open access

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Abstract

In this study, a state-of-the-art articulatory speech synthesiser was used as the basis for simulating the exploration of CV sounds imitating speech stimuli. By adopting a relevant kinematic model and systematically reducing the search space of consonant articulatory targets, intelligible CV sounds can be found. Derivative-free optimisation strategies were evaluated to speed up the process of exploring articulatory space and the possibility of using automatic speech recognition as a means of evaluating intelligibility was explored.

Type: Proceedings paper
Title: Finding Intelligible Consonant-Vowel Sounds Using High-Quality Articulatory Synthesis
Event: Interspeech 2020
Open access status: An open access version is available from UCL Discovery
DOI: 10.21437/Interspeech.2020-2545
Publisher version: https://doi.org/10.21437/Interspeech.2020-2545
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Speech, Hearing and Phonetic Sciences
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10118763
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