Abstract
The prevalence of cloud storage among users has surged, yet it's imperative to maintain server efficiency as data volume grows. Repositories are brimming with repetitive content, while users continue to demand consistent daily performance despite the extensive storage capacity. Service providers, however, cannot restrict users from uploading multimedia files that already exist on the server. This poses a challenge for storage administrators striving to enhance services and pinpoint duplicate files. Deduplication emerges as a viable solution to alleviate the server's load. This study proposes a method to identify redundant audio content and reversed audio files within existing data, as well as detect reversed audio content. These efforts augment the existing, refined super set identification algorithm.
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