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Title:Connectionist Speech Recognition of Broadcast News
Authors: A J Robinson ; G D Cook ; D P W Ellis ; J E Fosler-Lussier ; Steve Renals ; D A G Williams
Date: 2002
Publication Title:Speech Communication
Publication Type:Journal Article Publication Status:Published
Volume No:# 37(1-2) Page Nos:27-45
This paper describes connectionist techniques for recognition of Broadcast News. The fundamental difference between connectionist systems and more conventional mixture-of-Gaussian systems is that connectionist models directly estimate posterior probabilities as opposed to likelihoods. Access to posterior probabilities has enabled us to develop a number of novel approaches to confidence estimation, pronunciation modelling and search. In addition we have investigated a new feature extraction technique based on the modulation-filtered spectrogram, and methods for combining multiple information sources. We have incorporated all of these techniques into a system for the transcription of Broadcast News, and we present results on the 1998 DARPA Hub-4E Broadcast News evaluation data.
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Bibtex format
author = { A J Robinson and G D Cook and D P W Ellis and J E Fosler-Lussier and Steve Renals and D A G Williams },
title = {Connectionist Speech Recognition of Broadcast News},
journal = {Speech Communication},
publisher = {Elsevier},
year = 2002,
volume = {# 37(1-2)},
pages = {27-45},
doi = {10.1016/S0167-6393(01)00058-9},
url = {},

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