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Voice Conversion Method for Myanmar Speech Synthesis

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dc.contributor.author Tun, Tar Yar Myo
dc.date.accessioned 2019-07-03T03:37:59Z
dc.date.available 2019-07-03T03:37:59Z
dc.date.issued 2015-02-05
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/155
dc.description I am very gradeful to Dr. Khin Thidar Lynn and Dr Mie Mie Thaw for fruitful discussion during the preparation of this paper and also special thank to Rector, Professors and colleges from University of Computer Studies, Mandalay. I would like to thank all my teachers, fiends and my husband who taught and help me during the period of studies and thesis in Computer University, Mandalay. en_US
dc.description.abstract Speaker independent speech recognition is important for successful development of speech recognizer in most real world applications. This paper emphasizes speaker independent based on voice conversion usinga pitch shifting method,Pitch SynchronousOver Lap Add Algorithm (PSOLA).It depends on detecting the pitch of the signal (fundamental frequency) and changing it according to the target pitch period using time stretching with Pitch SynchronousOver Lap Add Algorithm (PSOLA), then resampling the signal in order to have the same play rate.The traditional voice activity detection algorithms which track only energy cannot successfully identify potential speech from input because the unwanted part of the speech also has some energy and appears to be speech. In the proposed system, VAD (Voice Activity Detection) that calculates energy of high frequency part separately as zero crossing rate to differentiate noise from speech is used. en_US
dc.language.iso en en_US
dc.publisher Thirteenth International Conferences on Computer Applications(ICCA 2015) en_US
dc.subject Myanmar Speech Synthesis en_US
dc.subject VAD en_US
dc.subject Energy en_US
dc.subject Zero Crossing Rate en_US
dc.subject TD-PSOLA en_US
dc.title Voice Conversion Method for Myanmar Speech Synthesis en_US
dc.type Article en_US


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