Music Plagiarism Detection using Audio Fingerprinting and Segment Matching

With the recent growth of media platforms such as YouTube, Spotify, etc. These Platforms make content easily accessible but at the same time causes many problems like plagiarized content. Especially with audio content we can observe multiple types of plagiarism like unauthorized use of music for mak...

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Bibliographic Details
Published in2021 Smart Technologies, Communication and Robotics (STCR) pp. 1 - 4
Main Authors Borkar, Neetish, Patre, Shubhra, Khalsa, Raunak Singh, Kawale, Rohanshhi, Chakurkar, Priti
Format Conference Proceeding
LanguageEnglish
Published IEEE 09.10.2021
Subjects
Audio Fingerprinting
Big Data
Feature extraction
Filtering
Fingerprint recognition
Media
Music Plagiarism
Plagiarism
Segment Matching
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Summary:With the recent growth of media platforms such as YouTube, Spotify, etc. These Platforms make content easily accessible but at the same time causes many problems like plagiarized content. Especially with audio content we can observe multiple types of plagiarism like unauthorized use of music for making remix music. To deal with this problem we use audio fingerprinting. It is the process of presenting an audio signal in a closed-packed way by extracting relevant characteristics of the audio signal. This in itself can be used to check the song, but it won't give an accurate result if the plagiarized song is copied from multiple different songs. To solve this particular problem, we use segment matching.
DOI:10.1109/STCR51658.2021.9587927