A large vocabulary speech recognition system for Turkish

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buir.advisorOflazer, Kemal
buir.co-advisorÇetin, Enis
dc.contributor.authorYılmaz, Cemal
dc.date.accessioned2016-01-08T20:16:47Z
dc.date.available2016-01-08T20:16:47Z
dc.date.copyright1999
dc.date.issued1999
dc.descriptionAnkara : Department of Computer Engineering and Information Science and the Institute of Engineering and Science of Bilkent University, 1999.en_US
dc.descriptionThesis (Master's) -- Bilkent University, 1999.en_US
dc.descriptionIncludes bibliographical references (leaves 56-58).en_US
dc.descriptionCataloged from PDF version of article.
dc.description.abstractThis thesis presents a large vocabulary isolated word speech recognition system for Turkish. The triphones modeled by three-state Hidden Markov Models (HMM) are used as the smallest unit for the recognition. The HMM model of a word is constructed by using the HMM models of the triphones which make up the word. In the training stage, the word model is trained as a whole and then each HMM model of the triphones is extracted from the word model and it is stored individually. In the recognition stage, HMM models of triphones are used to construct the HMM models of the words in the dictionary. In this way, the words that are not trained can be recognized in the recognition stage. A new dictionary model based on trie structure is introduced for Turkish with a new search strategy for a given word. This search strategy performs breadth-first traversal on the trie and uses the appropriate region of the speech signal at each level of the trie. Moreover, it is integrated with a pruning strategy to improve both the system response time and recognition rate.
dc.description.provenanceMade available in DSpace on 2016-01-08T20:16:47Z (GMT). No. of bitstreams: 1 1.pdf: 78510 bytes, checksum: d85492f20c2362aa2bcf4aad49380397 (MD5)en
dc.description.statementofresponsibilityby Cemal Yılmazen_US
dc.format.extentx, 68 leaves ; 30 cm.en_US
dc.identifier.urihttp://hdl.handle.net/11693/18162
dc.language.isoEnglishen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSpeech recognition
dc.subjectTriphones
dc.subjectHidden Markov Model (HMM)
dc.subjectTrie-based dictionary model
dc.subjectTrie-based search strategy
dc.titleA large vocabulary speech recognition system for Turkishen_US
dc.title.alternativeTürkçe için geniş sözcük dağarcıklı konuşma tanıma sistemi
dc.typeThesisen_US
thesis.degree.disciplineComputer Engineering
thesis.degree.grantorBilkent University
thesis.degree.levelMaster's
thesis.degree.nameMS (Master of Science)

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