The invention provides a method for extracting and modeling the emotional information of a Chinese sound; the extracting method for the emotional information of the Chinese sound is that: formulate the specification of a emotional speech database, which includes the pronouncer specification, the recording play book design specification and the naming specification of audio files and so on; collect the emotional speech data; evaluate the validity of the emotional speech, namely, at least ten evaluators apart from a speaker carry out a subjective listen evaluation experiment on the emotional speech data. The modeling method of the emotional information of the Chinese sound is that: extract the emotional characteristics of the sound, define and distinguish the characteristic combination of each emotion type; adopt different characteristic combinations to train the SVM model of a multilevel sound emotion recognition system; verify the identification effect of the classifying models, namely, verify the classification effect of the multilevel classification models of sound emotion in a situation unrelated to the speaker by adopting a cross leave-one-out method. The method solves the problems that the domestic emotional speech databases are less in emotion type and the number of the domestic emotional speech database is very limited; at the same time, the method realizes an efficientspeech emotion identification system.