Method for detecting audio exceptional event based on environmental model

The invention relates to a method for detecting an audio exceptional event based on an environmental model, comprising the following operating steps of: (1) analyzing audio data in a monitoring environment by utilizing a hidden Markova model to obtain the level of similarity of the current audio segment corresponding to each audio type, thus a similarity vector is formed; (2) sorting on the basis of the similarity vector to obtain a type detection vector; and (3) firstly building an environmental model when no exceptional event happens by utilizing a neural network-based method and adopting an offline training mode, and then judging whether the current audio is an exceptional event or not in an online testing way according to a trained model.