Evolving emotional prosody
Cecilia Ovesdotter Alm, Xavier Llorà · 2006
Emotion is expressed by prosodic cues, and this study uses the active interactive Genetic Algorithm to search a wide space for sad and angry parameters of intensity, F0, and duration in perceptual resynthesis experiments with users. This method avoids large recorded databases and is flexible for exploring prosodic emotion parameters. Solutions from multiple runs are analyzed graphically and statistically. Average results indicate parameter evolution by emotion, and appear best for sad speech. Solutions are quite successfully classified by CART, with duration as main predictor. 1