z-logo
open-access-imgOpen Access
Detection of Copy Right Infringement of Audio in on-Demand Systems using Audio Fingerprinting
Author(s) -
*Dr. Priscilla Rajadurai,
M. Karthi,
C. Niroshini Infantia,
V. Neelambary,
Lokeshwar Kumar Tabjula
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1082.1291s319
Subject(s) - fingerprint (computing) , computer science , fingerprint recognition , software , computer security , database , operating system
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here