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Continuous Speech Recognition Using Two-Level LR Parsing
Kenji KITA Toshiyuki TAKEZAWA Tsuyoshi MORIMOTO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 1991/07/25
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Issue on Continuous Speech Recognition and Understanding)
Category: Continuous Speech Recognition
Full Text: PDF(407.8KB)>>
This paper describes a continuous speech recognition system using two-level LR parsing and phone based HMMs. ATR has already implemented a predictive LR parsing algorithm in an HMM-based speech recognition system for Japanese. However, up to now, this system has used only intra-phrase grammatical constraints. In Japanese, a sentence is composed of several phrases and thus, two kinds of grammars, namely an intra-phrase grammar and an inter-phrase grammar, are sufficient for recognizing sentences. Two-level LR parsing makes it possible to use not only intra-phrase grammatical constraints but also inter-phrase grammatical constraints during speech recognition. The system is applied to Japanese sentence recognition where sentences were uttered phrase by phrase, and attains a word accuracy of 95.9% and a sentence accuracy of 84.7%.