'Affective computing' is a branch of computing concerned with the theory and construction of machines which can detect, respond to, and simulate human emotional states. This book presents an interdisciplinary exploration of this rapidly expanding field, aimed at those in psychology, computational neuroscience, computer science, and AI.A Sourcebook and Manual Klaus R. Scherer, Tanja BAcnziger, Etienne Roesch ... Leary, M.R, Landel, J.L., and Patton, K.M. (1996). ... IEEE Transactions on Speech and Audio Processing 13 (2), 293a303. Lee, C.M. ... Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models.
|Title||:||A Blueprint for Affective Computing|
|Author||:||Klaus R. Scherer, Tanja Bänziger, Etienne Roesch|
|Publisher||:||Oxford University Press - 2010-09-23|