An Approach Based on Reverse Hidden Markov Model for Audio Classification

In recent years, with more and more multimedia data being captured and stored, the searching and indexing techniques for multimedia data are getting more attention in the area of multimedia databases. As many research works were done on the content-based retrieval of image and video data, less attention was received to the content-based retrieval of audio data. As one of important parts in audio retrieval, audio classification is discussed in this paper. The reverse Hidden Markov Model is introduced and an approach based on reverse Hidden Markov Model for audio classification is presented. Experiments show that this method is effective.