ASR model trained on 6.33 hours of Ikema field data achieves 15% character error rate and reduces transcription time and cognitive load.
All speakers participated voluntarily with informed consent, and their privacy and data rights were re- spected throughout data collection and processing
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Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan
ASR model trained on 6.33 hours of Ikema field data achieves 15% character error rate and reduces transcription time and cognitive load.