POSTPROCESSOR USING FUZZY VECTOR QUANTIZER IN HMM-BASED SPEECH RECOGNITION
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Kim, HoiRin | ko |
| dc.contributor.author | LEE, HS | ko |
| dc.date.accessioned | 2011-03-29T02:47:14Z | - |
| dc.date.available | 2011-03-29T02:47:14Z | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.created | 2012-02-06 | - |
| dc.date.issued | 1991-10 | - |
| dc.identifier.citation | ELECTRONICS LETTERS, v.27, no.22, pp.1998 - 2000 | - |
| dc.identifier.issn | 0013-5194 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/23065 | - |
| dc.description.abstract | A postprocessor using fuzzy vector quantisation (FVQ) in HMM-based speech recognition is presented. A method to reduce the amount of computation in the FVQ postprocessor is also proposed. We show that the proposed method results in a higher recognition rate with almost the same amount of computation compared to the conventional Viterbi scoring method. | - |
| dc.language | English | - |
| dc.language.iso | en_US | en |
| dc.publisher | INST ENGINEERING TECHNOLOGY-IET | - |
| dc.title | POSTPROCESSOR USING FUZZY VECTOR QUANTIZER IN HMM-BASED SPEECH RECOGNITION | - |
| dc.type | Article | - |
| dc.identifier.wosid | A1991GN17800004 | - |
| dc.identifier.scopusid | 2-s2.0-0026242710 | - |
| dc.type.rims | ART | - |
| dc.citation.volume | 27 | - |
| dc.citation.issue | 22 | - |
| dc.citation.beginningpage | 1998 | - |
| dc.citation.endingpage | 2000 | - |
| dc.citation.publicationname | ELECTRONICS LETTERS | - |
| dc.identifier.doi | 10.1049/el:19911238 | - |
| dc.embargo.liftdate | 9999-12-31 | - |
| dc.embargo.terms | 9999-12-31 | - |
| dc.contributor.localauthor | Kim, HoiRin | - |
| dc.contributor.nonIdAuthor | LEE, HS | - |
| dc.type.journalArticle | Article | - |
| dc.subject.keywordAuthor | SPEECH RECOGNITION | - |
| dc.subject.keywordAuthor | MODELING | - |
| dc.subject.keywordAuthor | SIGNAL PROCESSING | - |
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