Vowel recognition using an LPC deviation model
Identifieur interne : 002D82 ( Istex/Corpus ); précédent : 002D81; suivant : 002D83Vowel recognition using an LPC deviation model
Auteurs : Itsuo Kumazawa ; Taizo IijimasSource :
- Electronics and Communications in Japan (Part I: Communications) [ 8756-6621 ] ; 1987.
Abstract
When the linear prediction coefficients (LPC) are used as a feature parameter of speech, a problem in speech recognition is the variation of LPC due to the difference of the speaker and the effect of the preceding or succeeding utterances. Because of this variation, LPC is distributed in a certain region in the LPC space. This paper proposes a method which approximates the region of distribution by a linear manifold model described in [1], and recognizes the category permitting the variation of LPC. The method is applied to the vowel recognition of CV syllable, and its usefulness is verified experimentally. It is shown first by spectrum analysis experiment that the linear manifold model is useful in the approximation of the variation of the vowel spectrum due to the preceding consonant. Second, a recognition experiment is carried out based on the model, and it is shown that the recognition rate can be improved by a simple model of linear manifold which is suited to computation.
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DOI: 10.1002/ecja.4410700904
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Because of this variation, LPC is distributed in a certain region in the LPC space. This paper proposes a method which approximates the region of distribution by a linear manifold model described in [1], and recognizes the category permitting the variation of LPC. The method is applied to the vowel recognition of CV syllable, and its usefulness is verified experimentally. It is shown first by spectrum analysis experiment that the linear manifold model is useful in the approximation of the variation of the vowel spectrum due to the preceding consonant. 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Editorial secretary, secretary of planning and secretary for general affairs, I.E.C.E., Japan. Chairman, Study Group for Pattern Recognition. Contributions Award 1976. Paper award (4 times) and Author Award. Doctor of Eng.</note><affiliation>Taizo Iijima graduated 1948 Dept. Electrical Eng., Tokyo Inst. Tech., and affiliated with Electrotechnical Lab. Engaged in researches in electromagnetic field analysis and pattern recognition and development of OCR. Professor 1972, Tokyo Inst. Tech. Editorial secretary, secretary of planning and secretary for general affairs, I.E.C.E., Japan. Chairman, Study Group for Pattern Recognition. Contributions Award 1976. Paper award (4 times) and Author Award. Doctor of Eng.</affiliation><affiliation>Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152</affiliation></author></analytic><monogr><title level="j">Electronics and Communications in Japan (Part I: Communications)</title><title level="j" type="abbrev">Electron. Comm. Jpn. Pt. 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Because of this variation, LPC is distributed in a certain region in the LPC space. This paper proposes a method which approximates the region of distribution by a linear manifold model described in [1], and recognizes the category permitting the variation of LPC. The method is applied to the vowel recognition of CV syllable, and its usefulness is verified experimentally. It is shown first by spectrum analysis experiment that the linear manifold model is useful in the approximation of the variation of the vowel spectrum due to the preceding consonant. Second, a recognition experiment is carried out based on the model, and it is shown that the recognition rate can be improved by a simple model of linear manifold which is suited to computation.</p></abstract></abstractGroup></contentMeta><noteGroup><note xml:id="fn1"><p>Itsuo Kumazawa graduated 1981 Dept. Electrical and Electronics Eng., Fac. Eng., Tokyo Inst. Tech. Completed Master's program, 1983 Grad. School. Presently, student in doctoral proram. Engaged in research in signal processing and pattern recognition.</p></note><note xml:id="fn2"><p>Taizo Iijima graduated 1948 Dept. Electrical Eng., Tokyo Inst. Tech., and affiliated with Electrotechnical Lab. Engaged in researches in electromagnetic field analysis and pattern recognition and development of OCR. Professor 1972, Tokyo Inst. Tech. Editorial secretary, secretary of planning and secretary for general affairs, I.E.C.E., Japan. Chairman, Study Group for Pattern Recognition. Contributions Award 1976. Paper award (4 times) and Author Award. Doctor of Eng.</p></note></noteGroup></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Vowel recognition using an LPC deviation model</title></titleInfo><titleInfo type="abbreviated" lang="en"><title>Vowel Recognition Using an LPC Deviation Model</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Vowel recognition using an LPC deviation model</title></titleInfo><name type="personal"><namePart type="given">Itsuo</namePart><namePart type="family">Kumazawa</namePart><affiliation>Faculty of Engineering, Tokyo Institute of Technology, Tokyo, Japan 152</affiliation><description>Itsuo Kumazawa graduated 1981 Dept. Electrical and Electronics Eng., Fac. Eng., Tokyo Inst. Tech. Completed Master's program, 1983 Grad. School. Presently, student in doctoral proram. 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Doctor of Eng.</description><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><place><placeTerm type="text">New York</placeTerm></place><dateIssued encoding="w3cdtf">1987</dateIssued><copyrightDate encoding="w3cdtf">1987</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="figures">8</extent><extent unit="tables">5</extent><extent unit="references">8</extent></physicalDescription><abstract lang="en">When the linear prediction coefficients (LPC) are used as a feature parameter of speech, a problem in speech recognition is the variation of LPC due to the difference of the speaker and the effect of the preceding or succeeding utterances. Because of this variation, LPC is distributed in a certain region in the LPC space. This paper proposes a method which approximates the region of distribution by a linear manifold model described in [1], and recognizes the category permitting the variation of LPC. The method is applied to the vowel recognition of CV syllable, and its usefulness is verified experimentally. It is shown first by spectrum analysis experiment that the linear manifold model is useful in the approximation of the variation of the vowel spectrum due to the preceding consonant. Second, a recognition experiment is carried out based on the model, and it is shown that the recognition rate can be improved by a simple model of linear manifold which is suited to computation.</abstract><relatedItem type="host"><titleInfo><title>Electronics and Communications in Japan (Part I: Communications)</title></titleInfo><titleInfo type="abbreviated"><title>Electron. Comm. Jpn. Pt. 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