文章基本信息

标题：Syllable Specific Unit Selection Cost Function Using a Tone Modeling Technique for Automatic Phonetic Segmentation of Hindi Speech Using HMM
本地全文：下载
作者：Miss.Nutan S.Raut ; Dr. Mrs.Sujata N.Kale ; Dr. V. M. Thakare 等
期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2015
卷号：4
期号：Special 3
出版社：IJECSCSE
摘要：This paper presents a technique of improv ing tone correctness in speech synthesis of a tonal language based on an average - voice model trained with a corpus from nonprofessional speakers speech. Unit selection - based concatenative synthesis is one of the widely used speech synthesis approaches. Thi s approach overcomes the limitations of other synthesis techniques such as articulatory synthesis and formant synthesis .The automatic pho n eme segmentation framework evolved imitates the human phoneme segmentation process.Public announcements are generally made by creating a library of a set of prerecorded standard sentences for giving only routine information to the passengers of various transport systems like roadways, aircraft and ships
关键词：Text to speech synthesis;target cost;concatentationcost;unit selection;Hidden Markov models