Brierley, C and Atwell, ES (2009) Exploring complex vowels as phrase break correlates in a corpus of English speech with ProPOSEL, a Prosody and POS English Lexicon. In: Proceedings of InterSpeech'2009. INTERSPEECH 2009, 06-10 Sep 2009, Brighton, UK. International Speech Communications Association , 868 - 871. ISBN 9781615676927
Abstract
Real-world knowledge of syntax is seen as integral to the machine learning task of phrase break prediction but there is a deficiency of a priori knowledge of prosody in both rule-based and data-driven classifiers. Speech recognition has established that pauses affect vowel duration in preceding words. Based on the observation that complex vowels occur at rhythmic junctures in poetry, we run significance tests on a sample of transcribed, contemporary British English speech and find a statistically significant correlation between complex vowels and phrase breaks. The experiment depends on automatic text annotation via ProPOSEL, a prosody and part-of-speech English lexicon.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2009 ISCA. Reproduced in accordance with the publisher's self-archiving policy. |
Keywords: | Prosody; real-world knowledge for machine learning; phrase break prediction; text-to-speech synthesis |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 15 Dec 2014 17:00 |
Last Modified: | 19 Dec 2022 13:29 |
Published Version: | http://www.isca-speech.org/archive/interspeech_200... |
Status: | Published |
Publisher: | International Speech Communications Association |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:81922 |