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20232026
most citedResource-Efficient Fine-Tuning Strategies for Automatic MOS Prediction in Text-to-Speech for Low-Resource Languages

2 citations · 2 across the 5 of their papers we have counts for

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cs.CL2026

Improving low-resource ASR using bilingual fine-tuning with language identification: a cross-linguistic evaluation

Reihaneh Amooie, Yun Hao, Wietse de Vries +3

This study explores how bilingual fine-tuning affects automatic speech recognition (ASR) in low-resource languages. We evaluate this method across nine linguistically and geographi…