Music Recommendation Using Deep Learning: A Study
Shubham Kedari, Jui Walimbe, Madhuri B. Thorat, Sakshi Warule · International Journal for Research in Applied Science and Engineering Technology · 2022
Abstract: In this project we suggest songs to a user based on his personal favorite music by analyzing their composition. We take advantage of the Convolutions Neural Network (CNN) to learn meaningful audio explanations and suggest similar songs to the user. To suggest a song for an individual user by his preferences. We have studied some deep learning model which will improve the recommendation accuracy over traditional methods like Collaborative Filtering(CF), Convolutional Neural Network(CNN), Recurrent Neural Network (RNN). In which CNN showed promising results and we have decided to use CNN for our personalized music recommender. Keywords: Deep Learning, Machine Learning, Convolutional Neural Network, Music Recommendation, CNN, Song Recommendation