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Improving Children's Speech Recognition by Fine-tuning Self-supervised Adult Speech Representations. (arXiv:2211.07769v1 [cs.CL])
Nov. 16, 2022, 2:16 a.m. | Renee Lu, Mostafa Shahin, Beena Ahmed
cs.CL updates on arXiv.org arxiv.org
Children's speech recognition is a vital, yet largely overlooked domain when
building inclusive speech technologies. The major challenge impeding progress
in this domain is the lack of adequate child speech corpora; however, recent
advances in self-supervised learning have created a new opportunity for
overcoming this problem of data scarcity. In this paper, we leverage
self-supervised adult speech representations and use three well-known child
speech corpora to build models for children's speech recognition. We assess the
performance of fine-tuning on both …
More from arxiv.org / cs.CL updates on arXiv.org
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