A Hybrid of Deep Audio Feature and i-vector for Artist Recognition
arXiv:1807.09208v12 citations
Originality Synthesis-oriented
AI Analysis
This work addresses artist recognition for music analysis, presenting an incremental hybrid method.
The authors tackled artist recognition by combining i-vector and deep convolutional neural networks, achieving state-of-the-art performance through complementary modeling.
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.