1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2025
AlignFreeze: Navigating the Impact of Realignment on the Layers of Multilingual Models Across Diverse Languages
Steve Bakos, Félix Gaschi, David Guzmán +3
Realignment techniques are often employed to enhance cross-lingual transfer in multilingual language models, still, they can sometimes degrade performance in languages that differ…
eess.AS2025★ 1 cited
A Domain Adaptation Framework for Speech Recognition Systems with Only Synthetic data
Minh Tran, Yutong Pang, Debjyoti Paul +7
We introduce DAS (Domain Adaptation with Synthetic data), a novel domain adaptation framework for pre-trained ASR model, designed to efficiently adapt to various language-defined d…
cs.CL2024★ 1 cited
Towards scalable efficient on-device ASR with transfer learning
Laxmi Pandey, Ke Li, Jinxi Guo +4
Multilingual pretraining for transfer learning significantly boosts the robustness of low-resource monolingual ASR models. This study systematically investigates three main aspects…