Abstract: A new method of speech emotion recognition in speech signal via Support Vector Machine(SVM) is proposed.SVM maps the extracted prosody emotional feature data into a high dimensional space and constructs the optimum classifying hyper-plane to recognize the four main speech emotions in Chinese mandarin such as anger,happiness,sadness and surprise.Computer simulation results show that SVM can obtain better recognition rate for emotion by comparing with other existing methods for speech emotion recognition.