A Fast Audio Retrieval Method Based on Negativity Judgment

A novel audio retrieval method based on negativity judgment is proposed. The foundation is that the similar audio feature vectors should be near after a transform procedure but which is a necessary condition but not sufficient condition to judge whether two audio segments are similar or not. So, it is reasonable to exclude audio vectors that can´t meet the necessary condition for similarity judgment from retrieval matching, which can speed up retrieval effectively. In the paper, an audio feature vector quantization method called weighted self-similarity and an index method based on the idea of negativity judgment for Euclidean distance is introduced. Experimental results show that the method can search at a high speed.