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cs.SD2026
DAVE: A Decoupled Audio-Visual Enhancement Framework for Real-World Speech Separation
Wei Zhou, Wanyi Ning, Yinshang Guo +3
Audio-visual speech enhancement under real-world conditions remains challenging due to unreliable visual inputs and the lack of large-scale training data with realistic acoustic co…
cs.SD2026
PS4: Proxy-Supervised Joint Training for Real Target Speaker Extraction
Wanyi Ning, Wei Zhou, Yingpeng Li +3
Training target speaker extraction (TSE) models for real conversational mixtures remains challenging because large-scale training corpora and clean target speech for supervision ar…
cs.SD2024
Efficient Streaming LLM for Speech Recognition
Junteng Jia, Gil Keren, Wei Zhou +6
Recent works have shown that prompting large language models with audio encodings can unlock speech recognition capabilities. However, existing techniques do not scale efficiently,…