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cs.SD2026
Discovering and Steering Interpretable Concepts in Large Generative Music Models
Nikhil Singh, Manuel Cherep, Pattie Maes
The fidelity with which neural networks can now generate content such as music presents a scientific opportunity: these systems appear to have learned implicit theories of such con…
cs.SD2025
Contrastive Learning from Synthetic Audio Doppelgängers
Manuel Cherep, Nikhil Singh
Learning robust audio representations currently demands extensive datasets of real-world sound recordings. By applying artificial transformations to these recordings, models can le…