Sixth European Conference on Speech Communication and Technology
(EUROSPEECH'99)

Budapest, Hungary
September 5-9, 1999

Toward Realtime Transcription of Broadcast News

Jason Davenport, Long Nguyen, Spyros Matsoukas, Richard Schwartz, John Makhoul

BBN Technologies, GTE Internetworking, Cambridge, MA, USA

In this paper, we describe our recent work in fast automatic transcription of broadcast news programming from radio and television. Given our state-of-the-art BBN BYBLOS primary system [1] running at 230 times real time (230xRT) we show that eliminating and approximating many computationally expensive components speeds up the system by a factor of more than 20 without significant loss in recognition accuracy. This is accomplished without retraining or changing the baseline system structure. The components of the primary system which are refined include segmentation, adaptation, decoding, crossword rescoring with adaptation, and system combination.


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Bibliographic reference.  Davenport, Jason / Nguyen, Long / Matsoukas, Spyros / Schwartz, Richard / Makhoul, John (1999): "Toward realtime transcription of broadcast news", In EUROSPEECH'99, 651-654.