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researcher

Nicolas M. Muller

3 papers hereh-index 371 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.AS2
  • cs.SD1
same name
  • Nicolas M. Muller — 4 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

works on
AI-generated music 1audio dataset 1cross-dataset evaluation 1music deepfake detection 1semantic alignment 1

From the 1 of 3 linked papers with an AI index.

collaborators

3 papers

cs.SD2026

Echoes: A semantically-aligned music deepfake detection dataset

Octavian Pascu, Dan Oneata, Horia Cucu +1

The paper presents Echoes, a new dataset of AI‑generated and real music tracks designed for robust deepfake detection, featuring semantic alignment between spoofed audio and genuin…

eess.AS2025

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…

eess.AS2025

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…

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