2020
Two-Step Sound Source Separation: Training On Learned Latent Targets
ICASSP 2020accepted
In this paper, we propose a two-step training procedure for source separation via a deep neural network. In the first step we learn a transform (and it's inverse) to a latent space where masking-based separation performance using oracles is optimal. For the second step, we train a separation module…