Automatic Speech Recognition: A Shifted Role in Early Speech Intervention
dc.contributor.author | Hamidi, Foad | |
dc.contributor.author | Baljko, Melanie | |
dc.date.accessioned | 2020-10-29T18:02:22Z | |
dc.date.available | 2020-10-29T18:02:22Z | |
dc.date.issued | 2013-08 | |
dc.description | SLPAT 2013, 4th Workshop on Speech and Language Processing for Assistive Technologies, pages 55–61, Grenoble, France, 21–22 August, 2013 | en_US |
dc.description.abstract | Although automatic speech recognition (ASR) has been used in several systems that support speech training for children, this particular design domain poses on-going challenges: an input domain of non-standard speech and a user population for which meaningful, consistent, and well designed automatically-derived feedback is imperative. In this design analysis, we focus on and analyze the differences between the tasks of speech recognition and speech assessment, and identify the latter as a central issue for work in the speech-training domain. Our analysis is based on empirical results from fieldwork with Speech-Language Pathologists concerning the design requirements analysis for tangible toys intended for speech intervention with primaryschool aged children. This analysis leads us to advocate for the use of only rudimentary ASR feedback. | en_US |
dc.description.sponsorship | We would like to thank the SLPs who took time and provided us with useful information through the interviews. This research is supported by the Natural Sciences and Engineering Research Council of Canada Discovery Grant, “Embodied Interaction Design for Articulation Elicitation and Feedback. | en_US |
dc.description.uri | https://www.aclweb.org/anthology/W13-3910/ | en_US |
dc.format.extent | 7 pages | en_US |
dc.genre | conference papers and proceedings | en_US |
dc.identifier | doi:10.13016/m26wri-rx4g | |
dc.identifier.citation | Foad Hamidi and Melanie Baljko, Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?, Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies, https://www.aclweb.org/anthology/W13-3910/ | en_US |
dc.identifier.uri | http://hdl.handle.net/11603/19973 | |
dc.language.iso | en_US | en_US |
dc.publisher | Association for Computational Linguistics | en_US |
dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
dc.relation.ispartof | UMBC Information Systems Department Collection | |
dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
dc.rights | Attribution 4.0 International | * |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Automatic Speech Recognition: A Shifted Role in Early Speech Intervention | en_US |
dc.type | Text | en_US |