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NAACL
1994

Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System

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Techniques to Achieve an Accurate Real-Time Large-Vocabulary Speech Recognition System
In addressing the problem of achieving high-accuracy real-time speech recognition systems, we focus on recognizing speech from ARPA's20,000-word Wall Street Journal (WSJ) task, using current UNIX workstations. We have found that our standard approach--using a narrow beam width in a Viterbi search for simple discrete-density hidden Markov models (HMMs)--works in real time with only very low accuracy. Our most accurate algorithms recognize speech many times slower than real time. Our (yet unattained) goal is to recognize speech in real time at or near full accuracy. We describe the speed/accuracy trade-offs associated with several techniques used in a one-pass speech recognition framework:
Hy Murveit, Peter Monaco, Vassilios Digalakis, Joh
Added 02 Nov 2010
Updated 02 Nov 2010
Type Conference
Year 1994
Where NAACL
Authors Hy Murveit, Peter Monaco, Vassilios Digalakis, John Butzberger
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