Singer Identification
2 papers with code • 0 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Singer Identification
VocalSet
Most implemented papers
Addressing the confounds of accompaniments in singer identification
bill317996/Singer-identification-in-artist20
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A singer identification model may learn to extract non-vocal related features from the instrumental part of the songs, if a singer only sings in certain musical contexts (e. g., genres).
Self-Supervised Contrastive Learning for Singing Voices
hiromu/contrastive-singing-voices
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IEEE/ACM Transactions on Audio, Speech, and Language Processing 2022
To acquire robust representations in an unsupervised manner, regular self-supervised contrastive learning trains neural networks to make the feature representation of a sample close to those of its computationally transformed versions.
