Detection of Copy Right Infringement of Audio in on-Demand Systems using Audio Fingerprinting
Priscilla Rajadurai1, M. Karthi2, C. Niroshini Infantia3, V. Neelambary4, Lokeshwar Kumar Tabjula5
1Dr. Priscilla Rajadurai, Department of Information Technology, St. Joseph’s Institute of Technology, Chennai (Tamil Nadu), India.
2M. Karthi, Department of Information Technology, St. Joseph’s Institute of Technology, Chennai (Tamil Nadu), India.
3C. Niroshini Infantia, Department of Information Technology, St. Joseph’s Institute of Technology, Chennai (Tamil Nadu), India.
4V. Neelambary, Department of Information Technology, St. Joseph’s Institute of Technology, Chennai (Tamil Nadu), India.
5Lokeshwar Kumar Tabjula, Department of Information Technology, St. Joseph’s Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 18 December 2019 | Revised Manuscript received on 24 December 2019 | Manuscript Published on 31 December 2019 | PP: 379-382 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10821291S319/19©BEIESP | DOI: 10.35940/ijeat.A1082.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Today, with an evolution of large public media databases, repositories and services such as Sound Cloud, Spotify, Wynk, YouTube and Saavn, the chances of intentional and unintentional plagiarism is been increasing at an exponential rate. The paper proposed a solution which is used to detect copy right infringement of audio in real time systems using the technique called Audio Fingerprinting. The resulting software will be able to process an audio file, generate an audio fingerprint that can be stored and searched to find the matched values in a database.
Keywords: Copy Right, Audio Fingerprint, Digital Signal Processing, Music, Hash Function, Plagiarism Detection, License, Audio Database.
Scope of the Article: Expert Systems