Rasmus Malik Høegh Lindrup

Knowing When to Quit: Probabilistic Early Exits for Speech Separation Networks

In recent years, deep learning-based single-channel speech separation has improved considerably, in large part driven by increasingly compute- and parameter-efficient neural network architectures. Most such architectures are, however, designed with a fixed compute and parameter budget, and consequen…