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

Journal Title: Bonfring International Journal of Data Mining - Year 2016, Vol 6, Issue 4

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.

Authors and Affiliations

Sudhakar B

Keywords

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  • EP ID EP403454
  • DOI 10.9756/BIJDM.8402
  • Views 105
  • Downloads 0

How To Cite

Sudhakar B (2016). Enhanced Sentiment based Text to Speech Synthesis Using Forward Parsing with Prosody Feature for English. Bonfring International Journal of Data Mining, 6(4), 53-55. https://europub.co.uk/articles/-A-403454