%0 Journal Article
%T An Audio Retrieval Algorithm Based on Audio Shot and Inverted Index
%A Xueyuan Zhang
%A Qianhua He
%J International Journal of Machine Learning and Computing
%D 2013
%I IACSIT Press
%R 10.7763/ijmlc.2013.v3.294
%X An efficient audio indexing and retrieval algorithm is proposed to locate similar audio segments in the database. A new boundary detection technique based on audio shot is proposed for audio segmentation. Subsequently, a new method is employed to convert the audio shot sequence to audio word sequence, which utilizes a self-learning audio shot dictionary. We also borrow the idea of inverted file from text retrieval to locate candidates efficiently. Furthermore, a similarity measure combining content and temporal order matching is proposed. Experiment results show a retrieval precision of 94.70% within an average response time of 6.344 seconds.
%U http://www.ijmlc.org/index.php?m=content&c=index&a=show&catid=35&id=291