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An Overview of the SPRACH System for the Transcription of Broadcast News

Cook, Gary; Christie, James; Ellis, Daniel P. W.; Fosler-Lussier, Eric; Gotoh, Yoshi; Kingsbury, Brian; Morgan, Nelson; Renals, Steve; Robinson, Tony; Williams, Gethin

This paper describes the SPRACH system developed for the 1998 Hub-4E broadcast news evaluation. The system is based on the connectionist-HMM framework and uses both recurrent neural network and multi-layer perceptron acoustic models. We describe both a system designed for the primary transcription hub, and a system for the less-than 10 times real-time spoke. We then describe recent developments to CHRONOS, a time-first stack decoder. We show how these developments have simplified the evaluation system, and led to significant reductions in the error rate of the 10x real-time system. We also present a system designed to operate in real-time with negligible search error.


Also Published In

Proceedings of the DARPA Broadcast News Workshop, February 28-March 3, 1999, Hilton at Washington Dulles Airport, Herndon, Virginia

More About This Work

Academic Units
Electrical Engineering
Information Technology Laboratory, National Institute of Standards and Technology
Published Here
July 3, 2012
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