Parsing continuous speech by HMM-LR method

Kenji Kita; Takeshi Kawabata; Hiroaki Saito

Parsing continuous speech by HMM-LR method

Kenji Kita, Takeshi Kawabata, Hiroaki Saito

研究成果: Paper › 査読

抄録

This paper describes a speech parsing method called HMM-LR. In HMM-LR, an LR parsing table is used to predict phones in speech input, and the system drives an HMM-based speech recognizer directly without any intervening structures such as a phone lattice. Very accurate, efficient speech parsing is achieved through the integrated processes of speech recognition and language analysis. The HMM-LR method is applied to large-vocabulary speaker-dependent Japanese phrase recognition. The recognition rate is 87.1% for the top candidates and 97.7% for the five best candidates.

本文言語	English
ページ	126-131
ページ数	6
出版ステータス	Published - 1989
外部発表	はい
イベント	1st International Workshop on Parsing Technologies, IWPT 1989 - Pittsburgh, United States 継続期間: 1989 8月 28 → 1989 8月 31

Conference

Conference	1st International Workshop on Parsing Technologies, IWPT 1989
国/地域	United States
City	Pittsburgh
Period	89/8/28 → 89/8/31

ASJC Scopus subject areas

言語学および言語
言語および言語学
コンピュータサイエンスの応用

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引用スタイル

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author = "Kenji Kita and Takeshi Kawabata and Hiroaki Saito",

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Parsing continuous speech by HMM-LR method

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ASJC Scopus subject areas

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