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cs.SD2025
Audio-Visual Speech Separation via Bottleneck Iterative Network
Sidong Zhang, Shiv Shankar, Trang Nguyen +2
Integration of information from non-auditory cues can significantly improve the performance of speech-separation models. Often such models use deep modality-specific networks to ob…
cs.SD2025
Are Deep Speech Denoising Models Robust to Adversarial Noise?
Will Schwarzer, Neel Chaudhari, Philip S. Thomas +2
Deep noise suppression (DNS) models enjoy widespread use throughout a variety of high-stakes speech applications. However, we show that four recent DNS models can each be reduced t…
cs.SD2025
XAttnMark: Learning Robust Audio Watermarking with Cross-Attention
Yixin Liu, Lie Lu, Jihui Jin +2
The rapid proliferation of generative audio synthesis and editing technologies has raised serious concerns about copyright infringement, data provenance, and the spread of misinfor…