IEICE TRANSACTIONS on Fundamentals
Continuous Speech Recognition Using Two-Level LR Parsing
Summary :
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%.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E74-A No.7 pp.1806-1810
- Publication Date
- 1991/07/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Issue on Continuous Speech Recognition and Understanding)
- Category
- Continuous Speech Recognition
Authors
Keyword
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Kenji KITA, Toshiyuki TAKEZAWA, Tsuyoshi MORIMOTO, "Continuous Speech Recognition Using Two-Level LR Parsing" in IEICE TRANSACTIONS on Fundamentals,
vol. E74-A, no. 7, pp. 1806-1810, July 1991, doi: .
Abstract: 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%.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e74-a_7_1806/_p
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@ARTICLE{e74-a_7_1806,
author={Kenji KITA, Toshiyuki TAKEZAWA, Tsuyoshi MORIMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Continuous Speech Recognition Using Two-Level LR Parsing},
year={1991},
volume={E74-A},
number={7},
pages={1806-1810},
abstract={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%.},
keywords={},
doi={},
ISSN={},
month={July},}
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TY - JOUR
TI - Continuous Speech Recognition Using Two-Level LR Parsing
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1806
EP - 1810
AU - Kenji KITA
AU - Toshiyuki TAKEZAWA
AU - Tsuyoshi MORIMOTO
PY - 1991
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E74-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 1991
AB - 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%.
ER -
English
