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AraYoungVoices: A Diverse L1/L2 Corpus of Arabic Child and Adolescent Speech

Chowdhury, Shammur Absar et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagesound
State-of-the-art ASR systems primarily target native adult speech, leading to substantial performance gaps for children, adolescents, and L2 speakers. We introduce AraYoungVoices, a 151.72-hour Arabic read-speech corpus from 286 speakers aged 7--18, comprising AraKids (7--12) and AraTeens (13--18).
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