Nicolao, M., Christensen, H., Cunningham, S. et al. (2 more authors) (2016) A Framework for Collecting Realistic Recordings of Dysarthric Speech - the homeService Corpus. In: Proceedings of LREC 2016. LREC 2016, 24-27 May 2016, Portorož, Slovenia. European Language Resources Association ISBN 978-2-9517408-9-1
Abstract
This paper introduces a new British English speech database, named the homeService corpus, which has been gathered as part of the homeService project. This project aims to help users with speech and motor disabilities to operate their home appliances using voice commands. The audio recorded during such interactions consists of realistic data of speakers with severe dysarthria. The majority of the homeService corpus is recorded in real home environments where voice control is often the normal means by which users interact with their devices. The collection of the corpus is motivated by the shortage of realistic dysarthric speech corpora available to the scientific community. Along with the details on how the data is organised and how it can be accessed, a brief description of the framework used to make the recordings is provided. Finally, the performance of the homeService automatic recogniser for dysarthric speech trained with single-speaker data from the corpus is provided as an initial baseline. Access to the homeService corpus is provided through the dedicated web page at http://mini.dcs.shef.ac.uk/resources/homeservice-corpus/. This will also have the most updated description of the data. At the time of writing the collection process is still ongoing.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © European Language Resources Association, 2016. The LREC 2016 Proceedings are licensed under a Creative Commons Attribution-NonCommercial 4.0 International License |
Keywords: | dysarthric speech corpus; speech disorders; speech corpus collection; realistic environment recordings; automatic dysarthric speech recogniser |
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) |
Funding Information: | Funder Grant number ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL (EPSRC) UNSPECIFIED |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Dec 2016 15:04 |
Last Modified: | 14 Dec 2016 15:04 |
Published Version: | http://www.lrec-conf.org/proceedings/lrec2016/inde... |
Status: | Published |
Publisher: | European Language Resources Association |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109262 |