Associative information for speech recognition using semantic attributes.

Speech recognition has been studied extensively in recent years with regard to human interface and the goal has been realization of speech recognition systems. However, the problem is that these systems have numerous limitations, despite being accompanied by implementation of speech-based interactive systems. There have been a few attempts to use associative information in Japanese speech recognition and understanding. As a result, this paper introduces a new concept of association between semantic attributes and associations between words under the assumption of so-called “indirect associations” in human communication. Hence, nearly successful processing of associations close to common sense relations is achieved. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(2): 63–77, 1997 [ABSTRACT FROM AUTHOR]