3 papers
cs.SD2026
Linguistically Augmented Audio Speech Data (LinguAS)
Ashley R. Keaton, Zahra Khanjani, Christine Mallinson +1
Maliciously-created fake speech, including deepfaked and spoofed audio, is proliferating at an alarming rate, and detection models are racing to stay ahead of the curve. Yet, most…
cs.SD2024
ALDAS: Audio-Linguistic Data Augmentation for Spoofed Audio Detection
Zahra Khanjani, Christine Mallinson, James Foulds +1
Spoofed audio, i.e. audio that is manipulated or AI-generated deepfake audio, is difficult to detect when only using acoustic features. Some recent innovative work involving AI-spo…
cs.SD2024
Investigating Causal Cues: Strengthening Spoofed Audio Detection with Human-Discernible Linguistic Features
Zahra Khanjani, Tolulope Ale, Jianwu Wang +3
Several types of spoofed audio, such as mimicry, replay attacks, and deepfakes, have created societal challenges to information integrity. Recently, researchers have worked with so…