Erdem Yavuz1,∗, Vedat Topuz2
Computer Systems Science and Engineering, Vol.33, No.6, pp. 429-445, 2018, DOI:10.32604/csse.2018.33.429
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 More >
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