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20222026
most citedReducing the gap between streaming and non-streaming Transducer-based ASR by adaptive two-stage knowledge distillation

3 citations · 6 across the 13 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

eess.AS2025

Adapting Speech Foundation Models for Unified Multimodal Speech Recognition with Large Language Models

Jing-Xuan Zhang, Genshun Wan, Jin Li +3

While speech foundation models (SFMs) have demonstrated remarkable performance in audio-only tasks, their adaptation to multimodal scenarios remains underexplored. This work presen…

eess.AS2025★ 2 cited

Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation Models

Jing-Xuan Zhang, Genshun Wan, Jianqing Gao +1

Audio-visual representation learning is crucial for advancing multimodal speech processing tasks, such as lipreading and audio-visual speech recognition. Recently, speech foundatio…