Improved acoustic modeling can significantly decrease the error rate in large-vocabulary speech recognition. Our approach to the problem is twofold. We first propose a scheme that...
The Linguistic Data Consortium (LDC) is currently involved in a major effort to expand its multilingual text resources, in particular for machine translation, message understandin...
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) tas...
Hy Murveit, Peter Monaco, Vassilios Digalakis, Joh...
The goal of this study is to evaluate the potential for using large vocabulary continuous speech recognition as an engine for automatically classifying utterances according to the...
Steve Lowe, Anne Demedts, Larry Gillick, Mark Mand...
Because of the complexity of documents and the variety of applications which must be supported, document understanding requires the integration of image understanding with text un...
Suzanne Liebowitz Taylor, Deborah A. Dahl, Mark Li...