A Study on Emotional Feature Analysis and Recognition in Speech Signal

This paper analysis the feather of the time,amplitude, pitch and formant construction involved such four emotions as happiness, anger, surprise and sorrow. Through comparison with non-emotional quiet speech signal, we sum up the distribution law of emotional feather including different emotional speech. Nine emotional features were extracted form emotional speech for recognizing emotion. We introduce two emotional recognition methods based on principal component analysis and the results show that these method can provide an effective solution to emotional recognition.