A Hybrid of Deep Audio Feature and i-vector for Artist Recognition

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.

Joint Workshop on Machine Learning for Music, the 34th International Conference on Machine Learning (ICML), 2018