Music Recommendation System with User-based and Item-based Collaborative Filtering Technique

Sunitha, M.; Adilakshmi, T.

doi:10.11591/ijeei.v5i1.248

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2019

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“…MIR means processing the music spectrogram to obtain useful information [15] 1037 cover song detection is part of MIR. For example, music recommendation system using collaborative filtering and music genre classification also have been proposed [16], [17]. A fingerprint of song is characteristic for certain types of music.…”

Section: Introductionmentioning

confidence: 99%

Music fingerprinting based on bhattacharya distance for song and cover song recognition

Sarno¹,

Wijaya²,

Mahardika³

2019

IJECE

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People often have trouble recognizing a song especially, if the song is sung by a not original artist which is called cover song. Hence, an identification system might be used to help recognize a song or to detect copyright violation. In this study, we try to recognize a song and a cover song by using the fingerprint of the song represented by features extracted from MPEG-7. The fingerprint of the song is represented by Audio Signature Type. Moreover, the fingerprint of the cover song is represented by Audio Spectrum Flatness and Audio Spectrum Projection. Furthermore, we propose a sliding algorithm and k-Nearest Neighbor (k-NN) with Bhattacharyya distance for song recognition and cover song recognition. The results of this experiment show that the proposed fingerprint technique has an accuracy of 100% for song recognition and an accuracy of 85.3% for cover song recognition.

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Section: Introductionmentioning

confidence: 99%