An Overview of the SPRACH System for the Transcription of Broadcast News
Gary Cook, James Christie, Daniel P. W. Ellis, Eric Fosler‐Lussier, Yoshi Gotoh, Brian E. D. Kingsbury, Nelson H. Morgan, Steve J. Renals, Tony Robinson, Gethin Williams · ERA · 1999
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.