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    <titleInfo>
        <title>Parsing Continuous Speech by HMM-LR Method</title>
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    <name type="personal">
        <namePart type="given">Kenji</namePart>
        <namePart type="family">Kita</namePart>
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    <name type="personal">
        <namePart type="given">Takeshi</namePart>
        <namePart type="family">Kawabata</namePart>
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    <name type="personal">
        <namePart type="given">Hiroaki</namePart>
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        <dateIssued>1989-08</dateIssued>
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        <titleInfo>
            <title>Proceedings of the First International Workshop on Parsing Technologies</title>
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        <name type="personal">
            <namePart type="given">Masaru</namePart>
            <namePart type="family">Tomita</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
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        <originInfo>
            <publisher>Carnegy Mellon University</publisher>
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    <abstract>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 m ethod 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.</abstract>
    <identifier type="citekey">kita-etal-1989-parsing</identifier>
    <location>
        <url>https://aclanthology.org/W89-0213</url>
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    <part>
        <date>1989-08</date>
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            <start>126</start>
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%0 Conference Proceedings
%T Parsing Continuous Speech by HMM-LR Method
%A Kita, Kenji
%A Kawabata, Takeshi
%A Saito, Hiroaki
%Y Tomita, Masaru
%S Proceedings of the First International Workshop on Parsing Technologies
%D 1989
%8 August
%I Carnegy Mellon University
%C Pittsburgh, Pennsylvania, USA
%F kita-etal-1989-parsing
%X 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 m ethod 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.
%U https://aclanthology.org/W89-0213
%P 126-131

Markdown (Informal)

[Parsing Continuous Speech by HMM-LR Method](https://aclanthology.org/W89-0213) (Kita et al., IWPT 1989)

• Parsing Continuous Speech by HMM-LR Method (Kita et al., IWPT 1989)

ACL

• Kenji Kita, Takeshi Kawabata, and Hiroaki Saito. 1989. Parsing Continuous Speech by HMM-LR Method. In Proceedings of the First International Workshop on Parsing Technologies, pages 126–131, Pittsburgh, Pennsylvania, USA. Carnegy Mellon University.