A phoneme-based approach for eliminating out-of-vocabulary problem of Turkish speech recognition using Hidden Markov Model
dc.contributor.author | Yavuz, Erdem | |
dc.contributor.author | Topuz, Vedat | |
dc.date.accessioned | 2020-11-21T15:54:49Z | |
dc.date.available | 2020-11-21T15:54:49Z | |
dc.date.issued | 2018 | en_US |
dc.department | İstanbul Ticaret Üniversitesi | en_US |
dc.description.abstract | Since Turkish is a morphologically productive language, it is almost impossible for a word-based recognition system to be realized to completely model Turkish language. Due to the fact that it is difficult for the system to recognize words not introduced to it in a word-based recognition system, recognition success rate drops considerably caused by out-of-vocabulary words. In this study, a speaker-dependent, phoneme-based word recognition system has been designed and implemented for Turkish Language to overcome the problem. An algorithm for finding phoneme-boundaries has been devised in order to segment the word into its phonemes. After the segmentation of words into phonemes, each phoneme is separated into different sub-groups according to its position and neighboring phonemes in that word. Generated sub-groups are represented by Hidden Markov Model, which is a statistical technique, using Mel-frequency cepstral coefficients as feature vector. Since phoneme-based approach is adopted in this study, it has been successfully achieved that many out of vocabulary words could be recognized. | en_US |
dc.identifier.endpage | 445 | en_US |
dc.identifier.issn | 0267-6192 | |
dc.identifier.issue | 6 | en_US |
dc.identifier.scopus | 2-s2.0-85060398049 | en_US |
dc.identifier.scopusquality | Q3 | en_US |
dc.identifier.startpage | 429 | en_US |
dc.identifier.uri | https://hdl.handle.net/11467/3898 | |
dc.identifier.volume | 33 | en_US |
dc.identifier.wos | WOS:000455691400003 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | C R L Publishing LTD | en_US |
dc.relation.ispartof | Computer Systems Science and Engineering | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Speech recognition | en_US |
dc.subject | Hidden Markov model | en_US |
dc.subject | cepstral analysis | en_US |
dc.subject | phoneme boundary | en_US |
dc.title | A phoneme-based approach for eliminating out-of-vocabulary problem of Turkish speech recognition using Hidden Markov Model | en_US |
dc.type | Article | en_US |