Detection of Copy Right Infringement of Audio in on-Demand Systems using Audio Fingerprinting
2019; Volume: 9; Issue: 1s3 Linguagem: Inglês
10.35940/ijeat.a1082.1291s319
ISSN2249-8958
AutoresDr. Priscilla Rajadurai, M. Karthi, C. Niroshini Infantia, V. Neelambary, Lokeshwar Kumar Tabjula,
Tópico(s)Music Technology and Sound Studies
ResumoToday, 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.
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