期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2017
卷号：8
期号：1
页码：48-52
出版社：TechScience Publications
摘要：The major components of automatic SpeechRecognition(ASR)are the pronunciation dictionary, languagemodels, acoustic model and decoder. The Pronunciationdictionaries define the mapping between the words and basicsounds of a language and thus play a vital role in speechrecognition systems. Construction of the pronunciationdictionary is expensive and time consuming since it requiresthe knowledge of the target language. Since phoneme iscontext dependent, a higher unit than phoneme is consideredwith the aim to develop a sophisticated tool for speech to textapplication. The proposed segmentation algorithm is tested onthe continuous speech read by 4 native speakers. Energy andspectral centroid features are used to remove the silent portionand vowel onset point is used as the anchor point to find thebeginning of the vowel. The proposed method is analysed withvarious time tolerances and the results are presented
