Name
Abstract | ||
|---|---|---|
Artist recognition is a task of modeling the artistu0027s 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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Sound | I vector,Computer science,Convolutional neural network,Speech recognition,Discriminative model,Generative model |
DocType | Volume | Citations |
Journal | abs/1807.09208 | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jiyoung Park | 1 | 19 | 3.51 |
| Donghyun Kim | 2 | 5 | 6.69 |
| Jongpil Lee | 3 | 111 | 15.79 |
| Sangeun Kum | 4 | 4 | 1.40 |
| Juhan Nam | 5 | 261 | 25.12 |