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Bonfring International Journal of Data Mining

Online ISSN: 2277-5048 Print ISSN: 2250-107X Frequency: 4 Issues/Year

Impact Factor: 0.245 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)

Enhanced Sentiment based Text to Speech Synthesis Using Forward Parsing with Prosody Feature for English

B. Sudhakar


Abstract
Most of the prototypes and fully operational systems have been constructed based on various synthesis techniques. To produce the output of (TTS) in the same form as if it is actually spoken the prosody feature allows the synthesizer to vary the pitch of the voice. The pitch and duration play an important role to improve the naturalness of (TTS) output. The emotions such as happy, fear, neutral and sad are handled by this system. The performance analysis has been carried out with recorded human speech to measure the naturalness achieved by the (TTS) system.
Keywords Text to Speech Synthesizer (TTS), Forward Parsing, Prosody Feature.
Volume 6
Issue 4
Pages 53-55
Issue Date October , 2016
Full Text
Open Access OA

This Journal is an Open Access Journal to Facilitate the Research Community

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