Ng, W., Nicolao, M., Saz, O. et al. (5 more authors) (2016) The Sheffield language recognition system in NIST LRE 2015. In: Proceedings of The Speaker and Language Recognition Workshop Odyssey 2016. Speaker Odyssey, 21-24 Jun 2016, Bilbao, Spain. ISCA , pp. 181-187.
Abstract
The Speech and Hearing Research Group of the University of Sheffield submitted a fusion language recognition system to NIST LRE 2015. It combines three language classifiers. Two are acoustic-based, which use i–vectors and a tandem DNN language recogniser respectively. The third classifier is a phonotactic language recogniser. Two sets of training data with duration of approximately 170 and 300 hours were composed for LR training. Using the larger set of training data, the primary Sheffield LR system gives 32.44 min DCF on the official LR 2015 eval data. A post-evaluation system enhancement was carried out where i–vectors were extracted from the bottleneck features of an English DNN. The min DCF was reduced to 29.20.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2016 ISCA |
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: | 05 Jan 2017 14:00 |
Last Modified: | 19 Dec 2022 13:35 |
Published Version: | http://dx.doi.org/10.21437/Odyssey.2016-26 |
Status: | Published |
Publisher: | ISCA |
Refereed: | Yes |
Identification Number: | 10.21437/Odyssey.2016-26 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:109232 |