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

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

26 January 2021

Jiatong Shi

Jiatong Shi. Jonathan D. Amith

Rey Castillo García

Esteban Guadalupe Sierra

Shinji Watanabe

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

6 / 6 papers shown

Title
Findings of the 2023 ML-SUPERB Challenge: Pre-Training and Evaluation over More Languages and Beyond Jiatong Shi William Chen Dan Berrebbi Hsiu-Hsuan Wang Wei-Ping Huang ... Yuxun Tang Shang-Wen Li Abdelrahman Mohamed Hung-yi Lee Shinji Watanabe LRM ELM 34 15 0 09 Oct 2023
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark Jiatong Shi Dan Berrebbi William Chen Ho-Lam Chung En-Pei Hu ... Xuankai Chang Shang-Wen Li Abdel-rahman Mohamed Hung-yi Lee Shinji Watanabe ELM 55 58 0 18 May 2023
EURO: ESPnet Unsupervised ASR Open-source Toolkit Dongji Gao Jiatong Shi Shun-Po Chuang Leibny Paola García-Perera Hung-yi Lee Shinji Watanabe Sanjeev Khudanpur 19 8 0 30 Nov 2022
Investigating data partitioning strategies for crosslinguistic low-resource ASR evaluation Zoey Liu J. Spence Emily Tucker Prudhommeaux 24 8 0 26 Aug 2022
Automated speech tools for helping communities process restricted-access corpora for language revival efforts Nay San Martijn Bartelds Tolúldopdé Ogúnrdemí Alison Mount R. Thompson Mike Higgins Roy Barker Jane Simpson Dan Jurafsky 14 6 0 15 Apr 2022
Combining Spectral and Self-Supervised Features for Low Resource Speech Recognition and Translation Dan Berrebbi Jiatong Shi Brian Yan Osbel López-Francisco Jonathan D. Amith Shinji Watanabe 8 26 0 05 Apr 2022