Prosody-based classification of emotions in spoken finnish

An emotional speech corpus of Finnish was collected that includes utterances of four emotional states of speakers. More than 40 prosodic features were derived and automatically computed for the speech samples. Statistical classification experiments with kNN classifier and human listening tests indicate that emotion recognition performance comparable to human listeners can be achieved.