Sentiment Based Text to Speech Synthesis using Forward Parsing with Prosody Feature for Tamil
نویسنده
چکیده
Several prototypes and fully operational systems have been built based on different synthesis techniques. This paper describes the Text to Speech Synthesizer with prosody feature for generating natural human conversation. It also deals with forward parsing technique for sentiment analysis of the TTS system in an efficient way. The prosody features plays an important roll to generate the TTS out put just like human voice. To produce the out put of TTS in the same form as if it is actually spoken the prosody feature allows the synthesizer to vary the pitch of voice. The forward parsing is utilized to compute the sentiment in the text and the sentiment based out put will be generated.
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تاریخ انتشار 2015