Neurodyne, a GAN-based singing voice pitch manipulator, uses adversarial representation learning and inversion plus composition cycle-consistency to improve pitch accuracy while preserving singer identity.
However, the performance of existing pitch-manipulation systems is still limited, which will generate unnatural modified audio with au- dible artifacts
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Neurodyne: Neural Pitch Manipulation with Representation Learning and Cycle-Consistency GAN
Neurodyne, a GAN-based singing voice pitch manipulator, uses adversarial representation learning and inversion plus composition cycle-consistency to improve pitch accuracy while preserving singer identity.