from-sinhala-to-dhivehi-cross-lingual-transfer-learning-for-low-resource-speech-recognition-5294ed53·1 events·first seen Aliases: From Sinhala to Dhivehi: Cross-Lingual Transfer Learning for Low-Resource Speech Recognition
A new arXiv paper investigates cross-lingual transfer learning from Sinhala to improve automatic speech recognition for Dhivehi, a severely low-resource language of the Maldives. Across 17 experiments spanning five transfer paradigms, the best system—continual pre-training on Sinhala followed by Dhivehi fine-tuning with KenLM—achieves 12.89% WER, outperforming the Dhivehi-only baseline by 13.50% WER. A Turkish control experiment confirms that linguistic relatedness, not just additional data, drives the improvement.