Moore, R.K. orcid.org/0000-0003-0065-3311 and Marxer, R. (2023) Progress and prospects for spoken language technology: Results from five sexennial surveys. In: Proceedings of INTERSPEECH 2023. INTERSPEECH 2023, 20-24 Aug 2023, Dublin, Ireland. International Speech Communication Association (ISCA) , pp. 401-405.
Abstract
Every six years (since 1997), a survey has been conducted at the IEEE workshop on Automatic Speech Recognition and Understanding (ASRU). The aim has been to gain an insight into the research community's perspective on the 'progress and prospects' for spoken language technology. These surveys have been based on a set of 'statements' describing possible scenarios, and respondents are asked to estimate the year (in the future or in the past) when each given scenario might be realised. A number of the statements have appeared in multiple surveys, hence it has been possible to track changes in opinion over time. This paper presents the combined results from five such surveys, the most recent of which was conducted at ASRU-2021. The latest results reveal a dramatic increase in optimism.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 The Authors. Except as otherwise noted, this author-accepted version of a paper published in Proceedings of INTERSPEECH 2023 is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | speech recognition; speech synthesis; survey of progress; future predictions |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 31 Jan 2025 12:50 |
Last Modified: | 31 Jan 2025 12:50 |
Status: | Published |
Publisher: | International Speech Communication Association (ISCA) |
Refereed: | Yes |
Identification Number: | 10.21437/interspeech.2023-235 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:222713 |