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cs.CL2025
BLR-MoE: Boosted Language-Routing Mixture of Experts for Domain-Robust Multilingual E2E ASR
Guodong Ma, Wenxuan Wang, Lifeng Zhou +3
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 sti…
cs.CL2024
Cross-Modal Denoising: A Novel Training Paradigm for Enhancing Speech-Image Retrieval
Lifeng Zhou, Yuke Li, Rui Deng +2
The success of speech-image retrieval relies on establishing an effective alignment between speech and image. Existing methods often model cross-modal interaction through simple co…
cs.CL2024
Coarse-to-fine Alignment Makes Better Speech-image Retrieval
Lifeng Zhou, Yuke Li
In this paper, we propose a novel framework for speech-image retrieval. We utilize speech-image contrastive (SIC) learning tasks to align speech and image representations at a coar…