Ramin Pishehvar

SPADE: Self-Supervised Pretraining for Acoustic Disentanglement

Self-supervised representation learning approaches have grown in popularity due to the ability to train models on large amounts of unlabeled data and have demonstrated success in diverse fields such as natural language processing, computer vision, and speech. Previous self-supervised work in the spe…