1. Method for detecting emotions from speech input, wherein at least the first feature class (A) and a second feature class (E) of features are at least in part evaluated, derived and/or extracted from a given speech input (SI), wherein from said features a current emotional state (CES) of the current speaker and/or parameters (CFS) thereof are derived and wherein said first and second feature classes (A, E) are identified and/or associated with, in particular distinct, dimensions of an underlying emotional manifold (EM) or emotional space (ES) and/or with subspaces thereof, in particular with activation or arousal and evaluation or pleasure, respectively.