3 citations · 5 across the 4 of their papers we have counts for
4 papers
Pitch Imperfect: Detecting Audio Deepfakes Through Acoustic Prosodic Analysis
Kevin Warren, Daniel Olszewski, Seth Layton +3
Audio deepfakes are increasingly in-differentiable from organic speech, often fooling both authentication systems and human listeners. While many techniques use low-level audio fea…
Every Breath You Don't Take: Deepfake Speech Detection Using Breath
Seth Layton, Thiago De Andrade, Daniel Olszewski +3
Deepfake speech represents a real and growing threat to systems and society. Many detectors have been created to aid in defense against speech deepfakes. While these detectors impl…
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
Hadi Abdullah, Kevin Warren, Vincent Bindschaedler +2
Speech and speaker recognition systems are employed in a variety of applications, from personal assistants to telephony surveillance and biometric authentication. The wide deployme…
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia +5
Automatic speech recognition and voice identification systems are being deployed in a wide array of applications, from providing control mechanisms to devices lacking traditional i…