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20242026
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8 papers · 1 filter

eess.AS2026

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…

eess.AS2026

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…

eess.AS2025

Zimtohrli: An Efficient Psychoacoustic Audio Similarity Metric

Jyrki Alakuijala, Martin Bruse, Sami Boukortt +2

This paper introduces Zimtohrli, a novel, full-reference audio similarity metric designed for efficient and perceptually accurate quality assessment. In an era dominated by computa…

eess.AS2025

Low-latency Assistive Audio Enhancement for Neurodivergent People

Alexander Popescu, Rosie Frost, Milos Cernak

Neurodivergent people frequently experience decreased sound tolerance, with estimates suggesting it affects 50-70% of this population. This heightened sensitivity can provoke react…

eess.AS2025

OpenACE: An Open Benchmark for Evaluating Audio Coding Performance

Jozef Coldenhoff, Niclas Granqvist, Milos Cernak

Audio and speech coding lack unified evaluation and open-source testing. Many candidate systems were evaluated on proprietary, non-reproducible, or small data, and machine learning…

eess.AS2025

DeepFilterGAN: A Full-band Real-time Speech Enhancement System with GAN-based Stochastic Regeneration

Sanberk Serbest, Tijana Stojkovic, Milos Cernak +1

In this work, we propose a full-band real-time speech enhancement system with GAN-based stochastic regeneration. Predictive models focus on estimating the mean of the target distri…