Emotion Extractor-AI based methodology to implement prosody features in Speech Synthesis
This paper presents the methodology to extract emotion from the
text at real time and add the expression to the documents
contents during speech synthesis. To understand the existence of
emotions self assessment test was carried out on set of documents
and preliminary rules were formulated for three basic emotions:
Pleasure, Arousal and Dominance. These rules are used in an
automated procedure that assigns emotional state values to
document contents. These values are then used by speech
synthesizer to add emotions to speech. The system is language
independent and content free.
Keywords: Speech Synthesis, Emotions, Artificial Intelligence, Prosody, Expressive speech synthesis
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