arXiv AI By Minh-Xuan Phan, Khalid Zaman, Candy Olivia Mawalim, Masashi Unoki

CRAF: Cross-View Residual-Aware Fusion for Deepfake Speech Detection

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arXiv Computation and Language
Sep 25

Spooftral: Can Voxtral Audio-Language Model Detect Speech Spoofing?

The paper investigates whether the Voxtral audio‑language model can detect speech spoofing. It shows that without task‑specific adaptation, the model’s language‑model layers prioritize semantic content, making spoof‑discriminative acoustic cues less separable. By applying lightweight weight‑decomposed low‑rank adaptation (DoRA), the authors create Spooftral, which achieves an equal error rate of 4.25% on the ASVspoof5 evaluation set.

By Avishai Weizman, Yehuda Ben-Shimol, Itshak Lapidot
arXiv Computation and Language
Sep 16

Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection

The paper proposes a method called language orthogonalization to improve zero‑shot cross‑lingual audio deepfake detection. By removing language‑dependent variation from self‑supervised speech models using a target‑free ridge map on language‑identification embeddings, the approach consistently lowers equal error rates across six languages and six model backbones. The gains are larger when the target language is more distant in the language‑identification space.

By Minu Kim, Ji Sub Um, Hoirin Kim
arXiv AI
Aug 17

Teffic-Audio: Tell Fact from Fiction

arXiv:2607. 28351v2 Announce Type: replace-cross Abstract: Speech deepfake detection has expanded in scope with increasingly heterogeneous spoofing mechanisms, including speech synthesis, voice conversion, vocoder reconstruction, and neural-codec resynthesis.

By Wan Lin, Li Wang, Jindong Wang, Kunyu Feng, Zhizheng Wu