Parallel Stacked Hourglass Network for Music Source Separation
Music source separation is one of the old and challenging problems in music information retrieval society. Improvements in deep learning lead to big progress in decomposing music into its constitutive components with a variety of music. This research uses three types of datasets for source separatio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9257356/ |