Woo-Jin Chung

MoLGE: Mixture of Language Group Experts for Efficient Scaling of Massively Multilingual Speech Recognition

Results demonstrate that MoLGE consistently outperforms dense multilingual baselines with a minimal increase in trainable parameters, and suggest that structured language specialization provides an effective pathway for massively scaling language coverage of multilingual ASR.