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 with surprising accuracy using a small subset of very simplistic features. These are derived from the openSMILE library, and are scalar-valued, easy to compute, and human interpretable. For example, attack A10`s unvoiced segments have a mean length of 0.09 +- 0.02, while bona fide instances have a mean length of 0.18 +- 0.07. Using this feature alone, a threshold classifier achieves an Equal Error Rate (EER) of 10.3% for attack A10. Similarly, across all attacks, we achieve up to 0.8% EER, with an overall EER of 15.7 +- 6.0%. We explore the generalization capabilities of these features and find that some of them transfer effectively between attacks, primarily when the attacks originate from similar Text-to-Speech (TTS) architectures. This finding may indicate that voice anti-spoofing is, in part, a problem of identifying and remembering signatures or fingerprints of individual TTS systems. This allows to better understand anti-spoofing models and their challenges in real-world application.
Enkidu: Universal Frequential Perturbation for Real-Time Audio Privacy Protection against Voice Deepfakes
College of Computer Science；Technology, Zhejiang University Hangzhou China；School of Big Data \& Software Engineering, Chongqing University Chongqing China；Technology, Zhejiang University；School of Big Data \& Software Engineering, Chongqing University
Mitigating Unauthorized Speech Synthesis for Voice Protection
Beijing University of Posts and Telecommunications（北京邮电大学）；CSIRO’s Data61（联邦科学与工业研究组织Data61）；National University of Singapore（新加坡国立大学）；The University of Hong Kong（香港大学）
Zero-Shot to Zero-Lies: Detecting Bengali Deepfake Audio through Transfer Learning
Department of CSE, BRAC University, Bangladesh（布鲁斯大学计算机科学与工程系）；Department of CSE, Ahsanullah University of Science and Technology, Bangladesh（阿沙努拉科技大学计算机科学与工程系）；Enosis Solutions, Bangladesh（恩奥斯解决方案公司）；Department of CSE, Southeast University, Bangladesh（东南大学计算机科学与工程系）
Hindi audio-video-Deepfake (HAV-DF): A Hindi language-based Audio-video Deepfake Dataset
BML Munjal University（BML蒙贾尔大学）；School of Engineering & Technology, BML Munjal University（BML蒙贾尔大学工程与技术学院）；Center for Advanced Data and Computational Science, BML Munjal University（BML蒙贾尔大学高级数据与计算科学中心）
SafeSpeech: Robust and Universal Voice Protection Against Malicious Speech Synthesis
Beijing University of Posts and Telecommunications（北京邮电大学）；CSIRO’s Data61（联邦科学与工业研究组织数据61）；National University of Singapore（新加坡国立大学）；The University of Hong Kong（香港大学）
ESDD2: Environment-Aware Speech and Sound Deepfake Detection Challenge Evaluation Plan
Duke Kunshan University（杜克-肯斯敦大学）；Korea Advanced Institute of Science and Technology（韩国科学技术院）；The University of Melbourne（墨尔本大学）；Johns Hopkins University（约翰霍普金斯大学）；Fortemedia Singapore（新加坡Fortemedia）
D-CAPTCHA++: A Study of Resilience of Deepfake CAPTCHA under Transferable Imperceptible Adversarial Attack
School of Computer Science（计算机学院）；University College Dublin（都柏林大学学院）；School of Computer Science and Statistics（计算机与统计学院）；Trinity College Dublin（都柏林圣三一学院）；University of Science（科学大学）
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Columbia University（哥伦比亚大学）；Washington University in St. Louis（圣路易斯华盛顿大学）；New York University（纽约大学）；Pennsylvania State University（宾夕法尼亚州立大学）；Rutgers University（罗格斯大学）
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices
Nanyang Technological University（南洋理工大学）；Alibaba Group（阿里巴巴集团）；East China Normal University（华东师范大学）；Kyushu University（九州大学）；Institute of Computing Innovation, Zhejiang University（浙江大学计算创新研究院）
Textual Acoustic Grounding for Generalizable LLM-Based Deepfake Voice Detection
German Research Center for Artificial Intelligence (DFKI)（德国人工智能研究中心）；National Institute of Informatics（情报信息学研究所）；Technical University of Berlin（柏林工业大学）
A Comprehensive Survey with Critical Analysis for Deepfake Speech Detection
Austrian Institute of Technology（奥地利技术研究院）；HCM University of Technology（胡志明市理工大学）；University of Technology of Troyes（特鲁瓦技术大学）；FPT University（FPT大学）；BLOOM Social Analytics（BLOOM社会分析公司）；Université de technologie de Compiègne（贡比涅技术大学）
