A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
Sound
2018-07-25 v1 Audio and Speech Processing
Abstract
Artist recognition is a task of modeling the artist's musical style. This problem is challenging because there is no clear standard. We propose a hybrid method of the generative model i-vector and the discriminative model deep convolutional neural network. We show that this approach achieves state-of-the-art performance by complementing each other. In addition, we briefly explain the advantages and disadvantages of each approach.
Keywords
Cite
@article{arxiv.1807.09208,
title = {A Hybrid of Deep Audio Feature and i-vector for Artist Recognition},
author = {Jiyoung Park and Donghyun Kim and Jongpil Lee and Sangeun Kum and Juhan Nam},
journal= {arXiv preprint arXiv:1807.09208},
year = {2018}
}
Comments
Joint Workshop on Machine Learning for Music, the 34th International Conference on Machine Learning (ICML), 2018