USING EMOTICONS FOR CONTEXTUAL TEXT-TO-SPEECH EXPRESSIVITY

Techniques disclosed herein include systems and methods that improve audible emotional characteristics used when synthesizing speech from a text source. Systems and methods herein use emoticons identified from a source text to provide contextual text-to-speech expressivity. In general, techniques herein analyze text and identify emoticons included within the text. The source text is then tagged with corresponding mood indicators. For example, if the system identifies an emoticon at the end of a sentence, then the system can infer that this sentence has a specific tone or mood associated with it. Depending on whether the emoticon is a smiley face, angry face, sad face, laughing face, etc., the system can infer use or mood from the various emoticons and then change or modify the expressivity of the TTS output such as by changing intonation, prosody, speed, pauses, and other expressivity characteristics.