Vocal-Accompaniment Compatibility Estimation Using Self-Supervised and Joint-Embedding Techniques
We propose a learning-based method of estimating the compatibility between vocal and accompaniment audio tracks, <italic>i.e.</italic>, how well they go with each other when played simultaneously. This task is challenging because it is difficult to formulate hand-crafted rules or constru...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9481947/ |