Atwell, E, Churcher, G and Souter, C (1995) Developing a corpus-based grammar model within a continuous commercial speech recognition package. Research Report. The University of Leeds
Abstract
This paper is derived from experiments with a commercial ’off-the-shelf’ continuous speech recognition system, applied to the apparently restricted domain of Air Traffic Control (ATC) for light aircraft. The system is required to transcribe key sub-phrases in a transmission by the ATC to a particular aircraft, the commercial speech recognition system providing the main recognition component. After the development of a corpus of transmissions, it was realised that key information is often interspersed with unconstrained English. Initial attempts focused on using a wildcard mechanism for the non-key sub- phrases. The mechanism, however, proved to be valuable only in simplistic grammars due to its overgenerative nature. The speech recognition system showed us that whilst useful mechanisms are provided, such as the wildcard mechanism, they tend to make over-simplistic assumptions about English grammar and dialogue structure.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Atwell, E, Churcher, G and Souter, C (c) 1995, University of Leeds. Reproduced with permission from the copyright holders. |
Keywords: | Air traffic control |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) > Artificial Intelligence & Biological Systems (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Jan 2015 09:59 |
Last Modified: | 26 Jan 2018 21:59 |
Published Version: | http://www.engineering.leeds.ac.uk/computing/resea... |
Status: | Published |
Publisher: | The University of Leeds |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:82826 |