SLP-L11.5
UNDERSTANDING THE STRENGTHS AND WEAKNESSES OF SSL MODELS FOR AUDIO DEEPFAKE MODEL ATTRIBUTION
Gabriel Pîrlogeanu, Politehnica Bucharest, Romania; Adriana Stan, Technical University of Cluj-Napoca, Romania; Horia Cucu, Politehnica Bucharest, Romania
Session:
SLP-L11: Audio Deepfake Detection, Attribution, and Watermarking Oral
Track:
Speech and Language Processing [SL]
Location:
Room 115
Presentation Time:
Thu, 7 May, 15:20 - 15:40
Presentation
Discussion
Resources
No resources available.
Session SLP-L11
SLP-L11.1: Hanui: Harnessing Distributional Discrepancies for Singing Voice Deepfake Detection
seyun um, doyeon kim, hong-goo kang, Yonsei University, Korea, Republic of
SLP-L11.2: Speech DF Arena: A Leaderboard for Speech DeepFake Detection Models
Sandipana Dowerah, Atharva Kulkarni, Ajinkya Kulkarni, Hoan My Tran, Joonas Kalda, Artem Fedorchenko, Benoit G B Fauve, Damien Lolive, Tanel Alumae,
SLP-L11.3: LOCALIZING SPEECH DEEPFAKES BEYOND TRANSITIONS VIA SEGMENT-AWARE LEARNING
Yuchen Mao, Wen Huang, Yanmin Qian, Shanghai Jiao Tong University, China
SLP-L11.4: A SUPERB-Style Benchmark of Self-Supervised Speech Models for Audio Deepfake Detection
Hashim Ali, Nithin Sai Adupa, Surya Subramani, Hafiz Malik, University of Michigan, United States of America
SLP-L11.5: UNDERSTANDING THE STRENGTHS AND WEAKNESSES OF SSL MODELS FOR AUDIO DEEPFAKE MODEL ATTRIBUTION
Gabriel Pîrlogeanu, Politehnica Bucharest, Romania; Adriana Stan, Technical University of Cluj-Napoca, Romania; Horia Cucu, Politehnica Bucharest, Romania
SLP-L11.6: AURA: A STEGAFORMER-BASED SCALABLE DEEP AUDIO WATERMARK WITH EXTREME ROBUSTNESS
Linxi Li, University of Warwick, United Kingdom of Great Britain and Northern Ireland; Liwei Jin, Yechen Wang, OfSpectrum, Inc., United States of America; Houmin Sun, Zi Hu, Duke Kunshan Univerisity, China; Carsten Maple, University of Warwick, United Kingdom of Great Britain and Northern Ireland
Contacts