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The Zurich Corpus of Vowel and Voice Quality, Version 1.0

Maurer, D; D'Heureuse, C; Suter, H; Dellwo, V; Friedrichs, D; Kathiresan, T; (2018) The Zurich Corpus of Vowel and Voice Quality, Version 1.0. In: Yegnanarayana, B, (ed.) Proceedings of INTERSPEECH 2018. (pp. pp. 1417-1421). International Speech Communication Association (ISCA) Green open access

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Abstract

Existing databases of isolated vowel sounds or vowel sounds embedded in consonantal context generally document only limited variation of basic production parameters. Thus, concerning the possible variation range of vowel and voice quality-related sound characteristics, there is a lack of broad phenomenological and descriptive references that allow for a comprehensive understanding of vowel acoustics and for an evaluation of the extent to which corresponding existing approaches and models can be generalised. In order to contribute to the building up of such references, a novel database of vowel sounds that exceeds any existing collection by size and diversity of vocalic characteristics is presented here, comprised of c. 34 600 utterances of 70 speakers (46 nonprofessional speakers, children, women and men, and 24 professional actors/actresses and singers of straight theatre, contemporary singing, and European classical singing). The database focuses on sounds of the long Standard German vowels /i-y-e-ø-a-o-u/ produced with varying basic production parameters such as phonation type, vocal effort, fundamental frequency, vowel context and speaking or singing style. In addition, a read text and, for professionals, songs are also included. The database is accessible for scientific use, and further extensions are in progress.

Type: Proceedings paper
Title: The Zurich Corpus of Vowel and Voice Quality, Version 1.0
Event: INTERSPEECH 2018, Annual Conference of the International Speech Communication Association, 2-6 September 2018, Hyderabad, India
Open access status: An open access version is available from UCL Discovery
DOI: 10.21437/Interspeech.2018-1542
Publisher version: http://dx.doi.org/10.21437/Interspeech.2018-1542
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: vowel acoustics, vowel recognition, voice quality, speech perception, speech databases
UCL classification: 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
URI: http://discovery.ucl.ac.uk/id/eprint/10060900
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