4 papers
LIFT-SE: Linguistic Inference Followed by Flow Transformation for Generative Speech Enhancement
Haoyin Yan, Chengwei Liu, Zheng Xue +4
Generative speech enhancement (SE) is prone to linguistic hallucination when semantic constraint is unreliable under severe noise and reverberation. Moreover, approaches that gener…
LMPAN: A Lightweight Multi-Path Alignment Network for Joint Full-Duplex Acoustic Echo Cancellation and Noise Suppression
Chengwei Liu, Shaofei Xue, Haoyin Yan +2
We propose a lightweight multi-path alignment network (LMPAN) for on-device joint acoustic echo cancellation (AEC) and noise suppression (NS) in full-duplex spoken dialogue systems…
DRIFT: Difficulty Routing Self-DIstillation with Rhythm-Gated Exploration and Success BuFfer Training
Haisen Luo, Yiwei Liu, Haoning Wang +13
Enabling large language models to achieve stable self-improvement without external expert supervision remains a central challenge in complex reasoning tasks. Existing self-distilla…
UniSE: A Unified Framework for Decoder-Only Autoregressive LM-Based Speech Enhancement
Haoyin Yan, Chengwei Liu, Shaofei Xue +4
Neural audio codecs have largely promoted the application of language models (LMs) for speech applications. However, the effectiveness of autoregressive LM-based models in unifying…