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
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
DOI: 10.9756/BIJDM.8402
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