2024
Unsupervised Accent Adaptation Through Masked Language Model Correction of Discrete Self-Supervised Speech Units
ICASSP 2024accepted
Self-supervised pre-trained speech models have strongly improved speech recognition, yet they are still sensitive to domain shifts and accented or atypical speech. Many of these models rely on quantisation or clustering to learn discrete acoustic units. We propose to correct the discovered discrete…