Papers by Rey Castillo García
Leveraging End-to-End ASR for Endangered Language Documentation: An Empirical Study on Yolóxochitl Mixtec (2021.eacl-main)
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Jiatong Shi, Jonathan D. Amith, Rey Castillo García, Esteban Guadalupe Sierra, Kevin Duh, Shinji Watanabe
| Challenge: | End-to-end ASR systems that eschew linguistic resources but are more dependent on large-data settings are suggested as a solution to EL documentation bottlenecks. |
| Approach: | They propose to build an end-to-end ASR system that is reproducible by the ASR community and propose a novice transcription correction task. |
| Outcome: | The proposed method would mitigate bottlenecks and shortages in transcribers . it is based on a Yoloxóchitl Mixtec corpus and is reproducible by the ASR community. |