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eess.AS2026
SE-AGCNet: An End-to-End Framework for Joint Speech Enhancement and Loudness Control in Meeting Scenarios
Jinming Zhang, Wei Rao, Xionghu Zhong +1
Conventional audio pipelines typically treat speech enhancement (SE) and automatic gain control (AGC) as discrete modules, which often limits overall performance. For instance, app…
eess.AS2026
VoxWatermark: A Large-Scale Benchmark for Audio Watermark Detection under Perturbations
Farnaz Sedaghati, Yuxi Wang, Zicheng Weng +1
With the rapid deployment of speech generation systems in open environments, providing verifiable source attribution and copyright accountability for audio content has become criti…
eess.AS2026
Training-Free Intelligibility-Guided Observation Addition for Noisy ASR
Haoyang Li, Changsong Liu, Wei Rao +3
Automatic speech recognition (ASR) degrades severely in noisy environments. Although speech enhancement (SE) front-ends effectively suppress background noise, they often introduce…