5 papers
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…
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…
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…
Audio Deepfake Perceptions in College Going Populations
Gabrielle Watson, Zahra Khanjani, Vandana P. Janeja
Deepfake is content or material that is generated or manipulated using AI methods, to pass off as real. There are four different deepfake types: audio, video, image and text. In th…
How Deep Are the Fakes? Focusing on Audio Deepfake: A Survey
Zahra Khanjani, Gabrielle Watson, Vandana P. Janeja
Deepfake is content or material that is synthetically generated or manipulated using artificial intelligence (AI) methods, to be passed off as real and can include audio, video, im…