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cs.SD2026
AFA-Net: A Differential Attention Approach for Auditory Attention Detection
Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar +1
Auditory Attention Detection (AAD) utilizes electroencephalographic (EEG) signals to identify a target speaker in a multi-speaker environment. Despite considerable progress, existi…
cs.SD2026
Advancing Speaker-Based Vocal Effort Classification with WavLM and Data Augmentation in Naturalistic Non-Calibrated Speech Recordings
Zahra Omidi, John H. L. Hansen
The variations in vocal effort range (e.g. whisper, soft, neutral, loud, shout) alter production and speech acoustics, reducing intelligibility and limiting the robustness of any s…
cs.SD2025
DiffAttack: Diffusion-based Timbre-reserved Adversarial Attack in Speaker Identification
Qing Wang, Jixun Yao, Zhaokai Sun +3
Being a form of biometric identification, the security of the speaker identification (SID) system is of utmost importance. To better understand the robustness of SID systems, we ai…