1. A method for emotion recognition, comprising: extracting one or more auditory attention features from an auditory spectrum for an input window of sound; generating one or more feature maps corresponding to the one or more auditory attention features; and extracting an auditory gist vector from each of the one or more feature maps; obtaining a cumulative gist vector through combination of each auditory gist vector extracted from the one or more feature maps; and determining one or more emotion classes corresponding to the input window of sound by mapping the cumulative gist vector to one or more emotion classes.