Learning a Representation for Cover Song Identification Using Convolutional Neural Network [article]

Zhesong Yu, Xiaoshuo Xu, Xiaoou Chen, Deshun Yang
2019 arXiv   pre-print
Cover song identification represents a challenging task in the field of Music Information Retrieval (MIR) due to complex musical variations between query tracks and cover versions. Previous works typically utilize hand-crafted features and alignment algorithms for the task. More recently, further breakthroughs are achieved employing neural network approaches. In this paper, we propose a novel Convolutional Neural Network (CNN) architecture based on the characteristics of the cover song task. We
more » ... first train the network through classification strategies; the network is then used to extract music representation for cover song identification. A scheme is designed to train robust models against tempo changes. Experimental results show that our approach outperforms state-of-the-art methods on all public datasets, improving the performance especially on the large dataset.
arXiv:1911.00334v1 fatcat:jfago6nx4fbihakq66746edrxq