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A Continuous Speech Recognition Model Utilizing Subject Transition in Sentences
Nobuyuki TAKASU Akio OGIHARA Satoshi KONDO Shojiro YONEDA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1991/05/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Issue on 1991 Spring Natl. Conv. IEICE)
Category: Speech Recognition
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The authors propose a model of the top down parser for continuous speech recognition. It utilizes a subject of an input sentence for its top down process and a preceding transition among subjects for the determination of a new subject. A task, a washing machine operation, which has five subjects are examined.