music-5
Singer Identification
3260 papers • 126 benchmarks • 313 datasets
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Most implemented papers
Self-Supervised Contrastive Learning for Singing Voices
Hiromu Yakura, Kento Watanabe, Masataka Goto•Fri Dec 31 2021
The proposed approach to self-supervised contrastive learning to acquire feature representations attentive to either vocal timbre or singing expression but not to the other by changing how the transformations are incorporated is extended.
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