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A weighted superposition of functional contours model for modelling contextual prominence of elementary prosodic contours

Gerazov, B; Bailly, G; Xu, Y; (2018) A weighted superposition of functional contours model for modelling contextual prominence of elementary prosodic contours. In: Yegnanarayana, B, (ed.) Interspeech 2018. (pp. pp. 2524-2528). ISCA Green open access

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Abstract

The way speech prosody encodes linguistic, paralinguistic and non-linguistic information via multiparametric representations of the speech signals is still an open issue. The Superposition of Functional Contours (SFC) model proposes to decompose prosody into elementary multiparametric functional contours through the iterative training of neural network contour generators using analysis-by-synthesis. Each generator is responsible for computing multiparametric contours that encode one given linguistic, paralinguistic and non-linguistic information on a variable scope of rhythmic units. The contributions of all generators' outputs are then overlapped and added to produce the prosody of the utterance. We propose an extension of the contour generators that allows them to model the prominence of the elementary contours based on contextual information. WSFC jointly learns the patterns of the elementary multiparametric functional contours and their weights dependent on the contours' contexts. The experimental results show that the proposed weighted SFC (WSFC) model can successfully capture contour prominence and thus improve SFC modelling performance. The WSFC is also shown to be effective at modelling the impact of attitudes on the prominence of functional contours cuing syntactic relations in French, and that of emphasis on the prominence of tone contours in Chinese.

Type: Proceedings paper
Title: A weighted superposition of functional contours model for modelling contextual prominence of elementary prosodic contours
Event: Interspeech 2018, 2-6 September 2018, Hyderabad, India
Open access status: An open access version is available from UCL Discovery
DOI: 10.21437/Interspeech.2018-1286
Publisher version: https://doi.org/10.21437/Interspeech.2018-1286
Language: English
Additional information: © 2018 International Speech Communication Association. This is the published 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
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.ucl.ac.uk/id/eprint/10062046
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