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Found 3 papers, 1 papers with code
Addressing the confounds of accompaniments in singer identification
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).
Backpropagation with N-D Vector-Valued Neurons Using Arbitrary Bilinear Products
Vector-valued neural learning has emerged as a promising direction in deep learning recently.
SVSGAN: Singing Voice Separation via Generative Adversarial Network
Separating two sources from an audio mixture is an important task with many applications.
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