most citedLeveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec

7 citations · 7 across the 1 of their papers we have counts for

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1 paper

eess.AS2021★ 7 cited

Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yoloxóchitl Mixtec

Jiatong Shi, Jonathan D. Amith, Rey Castillo García +3

"Transcription bottlenecks", created by a shortage of effective human transcribers are one of the main challenges to endangered language (EL) documentation. Automatic speech recogn…