Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?. (arXiv:2204.12765v1 [cs.CL])

Recently, self-supervised learning (SSL) has demonstrated strong performance
in speaker recognition, even if the pre-training objective is designed for
speech recognition. In this paper, we study which factor leads to the success
of self-supervised learning on speaker-related tasks, e.g. speaker verification
(SV), through a series of carefully designed experiments. Our empirical results
on the Voxceleb-1 dataset suggest that the benefit of SSL to SV task is from a
combination of mask speech prediction loss, data scale, and model size, while …

arxiv learning self-supervised learning speech speech recognition supervised learning