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A bayesian approach to phoneme detection for uyghur
ShadikeMuhetaer; WasiliBuheliqiguli; LiXiao
Conference Name2012 International Conference on Sensors, Measurement and Intelligent Materials, ICSMIM 2012
Conference DateDecember 26, 2012 - December 27, 2012
Conference PlaceGuilin, China
Publication PlaceTrans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany

In this paper, we presented a semantic speech segmentationapproach, in particular phoneme segmentation. In order to get phoneme level information, a novel voiced speech, unvoiced speech and silence(VUS) classification is proposed. Five parameters that can be extracted by short-time analysis methods are used to discriminate the phonemeboundary. Experiments on Uyghur broadcasting news indicate that theperformance of proposed algorithm is satisfying.

KeywordSpeech Recognition Keyword Spotting Acoustic Feature Voiced Speech Unvoiced Speech Speech Segmentation
Indexed ByEI
Document Type会议论文
AffiliationXinjiang Tech Inst Phys & Chem, Urumqi, Peoples R China;Coll Math & Informat Technol, Xinjiang Educ Inst, Urumqi, Peoples R China;Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
Recommended Citation
GB/T 7714
ShadikeMuhetaer,WasiliBuheliqiguli,LiXiao. A bayesian approach to phoneme detection for uyghur[C]. Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2013:1030-1034.
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