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Author

V. Stanek

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Preprint Aug 2026

Tracking the Trend in How Speech Synthesizers Deceive People

Advances in speech synthesis have made deepfake audio highly realistic. Earlier studies reported 70-80% human detection accuracy, but relied primarily on older synthesizers. We compare human detection for three selected voice synthesis tools released in 2019, 2022, and 2024 with 82 IT professionals, and benchmark human...

Milan Salko, Anton Firc, Kamil Malinka et al. · 0 citations
Preprint Aug 2026

The Last Mile of Deepfake Speech Detection: An Industry-Academia Experience Report

Based on a three-year effort with Phonexia, a commercial speaker-recognition vendor, barriers encountered while building and deploying a detector are connected to concrete research and coordination proposals: shared standards for commercially usable datasets, realistic deployment benchmarks, and scores that non- expert...

Anton Firc, Kamil Malinka, V. Stanek et al. · 0 citations

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