Author

Kaiyuan Liu

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Preprint Aug 2026

Breaking the Curse of Multilinguality in Many-to-Many Speech-to-Text Translation via a Resource-Aware Mixture of Speech Encoders

Empirical analyses show that MoSE improves high-, medium-, and low-resource languages simultaneously, with the largest gains on low-resource speech, thereby breaking the curse of multilinguality without compromising high-resource performance.

Yexing Du, Kaiyuan Liu, Youcheng Pan et al. · 0 citations