2022
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning
ICASSP 2022accepted
We present a method for transferring pre-trained self-supervised (SSL) speech representations to multiple languages. There is an abundance of unannotated speech, so creating self-supervised representations from raw audio and fine-tuning on small annotated datasets is a promising direction to build s…