Hain, T., Christian, J., Saz, O. et al. (6 more authors) (2016) webASR 2 - Improved cloud based speech technology. In: Proceedings of Interspeech 2016. 17th Annual Conference of the International Speech Communication Association (Interspeech), 08-12 Sep 2016, San Francisco, CA. ISCA
Abstract
This paper presents the most recent developments of the webASR service (www.webasr.org), the world’s first web– based fully functioning automatic speech recognition platform for scientific use. Initially released in 2008, the functionalities of webASR have recently been expanded with 3 main goals in mind: Facilitate access through a RESTful architecture, that allows for easy use through either the web interface or an API; allow the use of input metadata when available by the user to improve system performance; and increase the coverage of available systems beyond speech recognition. Several new systems for transcription, diarisation, lightly supervised alignment and translation are currently available through webASR. The results in a series of well–known benchmarks (RT’09, IWSLT’12 and MGB’15 evaluations) show how these webASR systems provides state–of–the–art performances across these tasks
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) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 08 Jul 2016 09:17 |
Last Modified: | 19 Dec 2022 13:34 |
Published Version: | https://doi.org/10.21437/Interspeech.2016-700 |
Status: | Published |
Publisher: | ISCA |
Refereed: | Yes |
Identification Number: | 10.21437/Interspeech.2016-700 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:101809 |