Controlling Limited-Domain Applications by Probabilistic Semantic Decoding of ...

Label 97sta
Title Controlling Limited-Domain Applications by Probabilistic Semantic Decoding of Natural Speech
Authors Holger Stahl, Johannes Müller, Manfred Lang
Type Scientific Conference Paper
Abstract The paper describes a speech understanding system, which allows the online control of arbitrary running applications owning a well-defined command interface. A sequential combination of a signal preprocessor, a stochastic-driven one-stage semantic decoder and a rule-based intention decoder is proposed. Following this principle and using the respective algorithms, speech understanding front-ends for the domains 'graphic editor' and 'service robot' could be successfully realized.
Keywords: speech understanding, stochastic knowledge bases, semantic decoding, intention decoding
Reference Proceedings ICASSP 97 (Munich, Germany, 1997), pp. 1163-1166
 doi.org/10.1109/ICASSP.1997.596149
Published April 1997
Language English
Download  Scientific Conference Paper as pdf file  (97 kByte)