Research on Piano Music Recommendation Algorithm Based on Time-Frequency Information

Author:

S Sivagami.1,Ramani S.2,Mehra Vishal3,Jasim L. H.4,Sheela M. Sahaya5,S Kavitha6

Affiliation:

1. New Prince Shri Bhavani College Of Engineering And Technology,Chennai,India

2. Sreenidhi Institute of Science & Technology,Department of Electronics and Communication Engineering,Hyderabad,Telangana,India,500029

3. IES College Of Technology,Department of Electronics & Communication Engineering,Bhopal,MP,India,462044

4. The Islamic University,College of Technical Engineering,Najaf,Iraq

5. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology (Deemed to be University),Department of ECE,Chennai,Tamil Nadu,India

6. Velammal College of Engineering and Technology,Department of Computer Science and Engineering,Madurai,India

Publisher

IEEE

Reference17 articles.

1. Research on music culture personalized recommendation based on factor decomposition machine[J];Dazhi;Personal and Ubiquitous Computing,2020

2. Advancing Information Sciences through Research on Music: 1. Music Signal Processing[J];Kamioka;Information Processing,2016

3. Patterns of leisure-time physical activity using multivariate finite mixture modeling and cardiovascular risk factors in the Northern Manhattan Study[J];Ying;Annals of epidemiology,2018

4. A research on understanding of piano players’ control of performance behavior in brushing up processes of music piece using Near-infrared spectroscopy

5. Deep Learning Techniques for Peer-to-Peer Physical Systems Based on Communication Networks

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