Method and System for Rom optimization by detecting duplicate audio contents

摘要

In the current scenario, we may have various duplicate audio clips in our devices which may came from different sources and may be of different name and tags but content wise they are same. So user will have unnecessary duplicate audio content which is not useful to him and also taking a lot space in the device and user might not aware of it. We propose a solution in which we aim towards the enhancement of user’s Memory management through the approach of music content analysis based upon big data analysis using data mining technique. So, to do deal with these problems, this paper proposes a novel approach of detecting duplicate audio contents using unique signature formation. The proposal enlists a content based mechanism which analyses data of the audio content of individual music files and employs big data analysis algorithm on it for detecting the duplicate audio content. This will be used to achieve memory optimization (by saving the memory) for device. In addition, the technique will also provide the user’s runtime experience to avoid the acceptance of duplicate data.