Fine-tuning wav2vec2 on 35 minutes of phonemically transcribed Neo-Aramaic audio yields 12.5% CER and up to 6.3x faster transcription, proposed as the NoLoR framework for endangered language documentation.
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NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case Study
Fine-tuning wav2vec2 on 35 minutes of phonemically transcribed Neo-Aramaic audio yields 12.5% CER and up to 6.3x faster transcription, proposed as the NoLoR framework for endangered language documentation.