1 citations · 3 across the 13 of their papers we have counts for
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CochlearMark: Audio Watermarking via Phase Locked Auditory Nerve Representations
Qin Liu, Strahinja Nikolic, Milos Cernak
Modern audio watermarks achieve strong robustness with learned encoder-decoder models, but their behavior under new processing is established empirically. CochlearMark is introduce…
StreamMark: A Deep Learning-Based Semi-Fragile Audio Watermarking for Proactive Deepfake Detection
Zhentao Liu, Milos Cernak
The rapid advancement of generative AI has made it increasingly challenging to distinguish between deepfake audio and authentic human speech. To overcome the limitations of passive…
Calibration-Reasoning Framework for Descriptive Speech Quality Assessment
Elizaveta Kostenok, Mathieu Salzmann, Milos Cernak
Explainable speech quality assessment requires moving beyond Mean Opinion Scores (MOS) to analyze underlying perceptual dimensions. To address this, we introduce a novel post-train…
An Interpretable, Controllable Time-Varying IIR Denoiser for On-Device Assistive Hearing
Riccardo Rota, Kiril Ratmanski, Jozef Coldenhoff +1
We present TVBC (Time-Varying Biquad Cascade), an interpretable, low-latency speech enhancement model for real-time, on-device assistive hearing. A lightweight neural controller pr…