Related to natural language processing techniques in the field of artificial intelligence, provided is a method for speech emotion recognition: acquiring multiple pieces of emotion state information corresponding to multiple speech frames in a current discourse segment on the basis of a first neural network model (310), performing a statistical computation with respect to the multiple pieces of emotion state information to produce a statistical result (320), and then, producing the emotion state information corresponding to the current discourse segment on the basis of a second neural network model and on the basis of the statistical result corresponding to the current discourse segment and of statistical results corresponding to multiple discourse segments preceding the current discourse segment (330). By means of the two levels of neural network models, namely the first neural network model and the second neural network model, the effect that the context of the current discourse segment has on the emotion state information corresponding to the current discourse segment can be learned in full, thus implementing the effect of accurate speech emotion recognition.
METHOD AND DEVICE FOR SPEECH EMOTION RECOGNITION