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cs.CL2022
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptation
Fernando López, Jordi Luque
High-quality data labeling from specific domains is costly and human time-consuming. In this work, we propose a self-supervised domain adaptation method, based upon an iterative ps…
cs.SD2022★ 3 cited
Data Augmentation for Low-Resource Quechua ASR Improvement
Rodolfo Zevallos, Nuria Bel, Guillermo Cámbara +2
Automatic Speech Recognition (ASR) is a key element in new services that helps users to interact with an automated system. Deep learning methods have made it possible to deploy sys…