Speech Emotion Recognition Research And Realization

With the rapid development of computer network multimedia technology, the technology of new Human Machine communication and Interaction(HCI) has become a very active study subject in the computer science field at present. Speech is par with facial one of the fundamental methods of conveying emotion, on a expression. The study on the speech emotion recognition has found important realistic values in such aspects as enhancing the intelligence and humanity of computer, developing new human-machine environments, promoting the study of psychology.In this paper, we firstly introduce the study background and other related key technologies of speech emotion recognition based on audio information, emphasizing on the knowledge of dealing with speech, analyzing and extracting speech emotion features, recognition methods. The study actuality and its trend in this field in the world at present are also emphasized.Secondly we discuss in details the process of analyses and main design ideas of the speech emotion recognition. We have finished the construction of emotion-speech templates database, the preprocess. of speech signals, speech emotion features extraction based on hamming filter and wavelet transformation, speech emotion recognition based on templates matching, combining weighted Euclidean distance. During recognition of speech emotion base on audio frequency, we analyze and summarize according to examinations that the different extracted speech emotion features have different contribute in degree to every speech emotion status. Therefore, we present the contributes analyzing algorithm to give different weights to different extracted speech emotion features and then construct the templates. Then we can use the templates matching methods based on weighted Euclidean distance to achieve speech emotion recognition, ensuring the real-time command of the system. We adopt the object oriented design methods to design the system of speech emotion recognition and the validity of above methods is proved.In the end of this paper, we summarize some problems that have not been solved and the future works in this field will be discussed.