Eungbeom Kim

Uncertainty-Aware Self-Training for CTC-Based Automatic Speech Recognition

Uncertainty estimation has been widely applied for trustworthy automatic speech recognition (ASR) systems across training and inference stages. In the training stage, previous studies show that uncertainty can facilitate self-training by filtering out unlabeled data samples with high uncertainty. Ho…