1. A method for detecting emotions from speech input comprising: evaluating, deriving and/or extracting at least a first feature class and a second feature class of features from a given speech input, wherein the first feature class does not include features of the second feature class and the second feature class does not include features of the first feature class, and the first feature class includes prosodic features and the second feature class includes voice quality features; associating said first and second feature classes with dimensions of an underlying emotional space including a first dimension of activation or arousal and a second dimension of evaluation or pleasure, respectively; using for each dimension of the underlying emotional space a specialized classifier system, each of which being configured to classify features from an assigned feature class associated with a respective feature class, wherein each specialized classifier system operates independently from each other, and each of the specialized classifier systems uses as input only features of a respectively assigned feature class; and combining outputs of said specialized classifier systems for each feature class to form a global classifier system configured to output a current emotional state.