WARDEN achieves better transcription and translation for Wardaman than larger models by separating the tasks and using Sundanese initialization plus a domain dictionary with just 6 hours of data.
Exploration of whisper fine-tuning strategies for low-resource asr,
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WARDEN: Endangered Indigenous Language Transcription and Translation with 6 Hours of Training Data
WARDEN achieves better transcription and translation for Wardaman than larger models by separating the tasks and using Sundanese initialization plus a domain dictionary with just 6 hours of data.