A Novel Self-training Approach for Low-resource Speech Recognition. (arXiv:2308.05269v1 [cs.CL])

In this paper, we propose a self-training approach for automatic speech
recognition (ASR) for low-resource settings. While self-training approaches
have been extensively developed and evaluated for high-resource languages such
as English, their applications to low-resource languages like Punjabi have been
limited, despite the language being spoken by millions globally. The scarcity
of annotated data has hindered the development of accurate ASR systems,
especially for low-resource languages (e.g., Punjabi and M\=aori languages). To
address this issue, we propose an effective self-training …

applications arxiv asr automatic speech recognition english language languages low novel paper recognition self-training speech speech recognition spoken training