Effects of sentence structure and word complexity on intelligibility in machine-to-human communications

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dc.contributor.author Hui, Chung en
dc.contributor.author Jain, S en
dc.contributor.author Watson, Catherine en
dc.date.accessioned 2019-10-29T00:09:43Z en
dc.date.issued 2019-11 en
dc.identifier.citation Computer Speech and Language 58:203-215 Nov 2019 en
dc.identifier.issn 0885-2308 en
dc.identifier.uri http://hdl.handle.net/2292/48664 en
dc.description.abstract With the rise of robotics and artificial intelligence, good communication between humans and machines becomes more important. However, users with language and hearing disadvantages may find synthetic speech systems to be difficult to understand. In this study, we explore the types of sentence structure and level of word complexity that affect intelligibility of speech in unfamiliar context. Using semantically unpredictable sentences, we found that sentence with more complex syntax such as relative pronouns and question words are harder to comprehend, while on the word level, it is the shorter and simpler words that contribute to misunderstandings. We found that although word frequency affects how well a word is recognised, the effect from the occurring frequency is much less than the effect of how phonetically distinctive the word is. There was also evidence of significant difference between native speakers and non-native speakers on how well they could understand the sentences. These results may help us in designing better dialogue system for machine to human interactions, especially in the healthcare arena, where often users have disadvantages in language and hearing abilities. en
dc.language English en
dc.publisher Elsevier en
dc.relation.ispartofseries Computer Speech and Language en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://www.elsevier.com/about/policies/sharing en
dc.subject Science & Technology en
dc.subject Technology en
dc.subject Computer Science, Artificial Intelligence en
dc.subject Computer Science en
dc.subject Dialogue design en
dc.subject Speech perception en
dc.subject Speech synthesis en
dc.subject Machine to human communications en
dc.subject SPEECH en
dc.title Effects of sentence structure and word complexity on intelligibility in machine-to-human communications en
dc.type Journal Article en
dc.identifier.doi 10.1016/j.csl.2019.03.002 en
pubs.begin-page 203 en
pubs.volume 58 en
dc.rights.holder Copyright: Elsevier en
pubs.end-page 215 en
pubs.publication-status Accepted en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 772786 en
pubs.org-id Engineering en
pubs.org-id Department of Electrical, Computer and Software Engineering en
pubs.org-id Mechanical Engineering en
dc.identifier.eissn 1095-8363 en
pubs.record-created-at-source-date 2019-11-04 en

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