6 citations · 6 across the 4 of their papers we have counts for
4 papers
Echoes: A semantically-aligned music deepfake detection dataset
Octavian Pascu, Dan Oneata, Horia Cucu +1
We introduce Echoes, a new dataset for music deepfake detection designed for training and benchmarking detectors under realistic and provider-diverse conditions. Echoes comprises 4…
Unmasking real-world audio deepfakes: A data-centric approach
David Combei, Adriana Stan, Dan Oneata +2
The growing prevalence of real-world deepfakes presents a critical challenge for existing detection systems, which are often evaluated on datasets collected just for scientific pur…
ASVspoof 5: Design, Collection and Validation of Resources for Spoofing, Deepfake, and Adversarial Attack Detection Using Crowdsourced Speech
Xin Wang, Héctor Delgado, Hemlata Tak +26
ASVspoof 5 is the fifth edition in a series of challenges which promote the study of speech spoofing and deepfake attacks as well as the design of detection solutions. We introduce…
Easy, Interpretable, Effective: openSMILE for voice deepfake detection
Octavian Pascu, Dan Oneata, Horia Cucu +1
In this paper, we demonstrate that attacks in the latest ASVspoof5 dataset -- a de facto standard in the field of voice authenticity and deepfake detection -- can be identified wit…