InProceedings of the Fifth Workshop on the Use of Computational Methods in the Study of En- dangered Languages, pages 170–178

Fine-tuning pre-trained models for automatic speech recognition, experiments on a fieldwork corpus of Japhug (Trans-Himalayan family) · 2013

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cs.CL · 2026-03-27 · unverdicted · novelty 4.0

ASR model trained on 6.33 hours of Ikema field data achieves 15% character error rate and reduces transcription time and cognitive load.

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Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan cs.CL · 2026-03-27 · unverdicted · none · ref 12
ASR model trained on 6.33 hours of Ikema field data achieves 15% character error rate and reduces transcription time and cognitive load.