Binbin Du — accepted AI-conference papers

2025

BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR

Guodong Ma, Wenxuan Wang, Lifeng Zhou, Yuting Yang, Yuke Li, Binbin Du

ICASSP 2025accepted

Recently, the Mixture of Expert (MoE) architecture, such as LR-MoE, is often used to alleviate the impact of language confusion on the multilingual ASR (MASR) task. However, it still faces language confusion issues, especially in mismatched domain scenarios. In this paper, we decouple language confu…

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2023

Improving CTC-Based ASR Models With Gated Interlayer Collaboration

Yuting Yang, Yuke Li, Binbin Du

ICASSP 2023accepted

The CTC-based automatic speech recognition (ASR) models without the external language model usually lack the capacity to model conditional dependencies and textual interactions. In this paper, we present a Gated Interlayer Collaboration (GIC) mechanism to improve the performance of CTC-based models,…

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