4 papers
Deepfake Audio Detection Using Self-supervised Fusion Representations
Khalid Zaman, Qixuan Huang, Muhammad Uzair +1
This paper describes a submission to the Environment-Aware Speech and Sound Deepfake Detection Challenge (ESDD2) 2026, which addresses component-level deepfake detection using the…
Spectro-Temporal Modulation Representation Framework for Human-Imitated Speech Detection
Khalid Zaman, Masashi Unoki
Human-imitated speech poses a greater challenge than AI-generated speech for both human listeners and automatic detection systems. Unlike AI-generated speech, which often contains…
Noise-Aware In-Context Learning for Hallucination Mitigation in ALLMs
Qixuan Huang, Khalid Zaman, Masashi Unoki
Auditory large language models (ALLMs) have demonstrated strong general capabilities in audio understanding and reasoning tasks. However, their reliability is still undermined by h…
Quantum Vision Theory Applied to Audio Classification for Deepfake Speech Detection
Khalid Zaman, Melike Sah, Anuwat Chaiwongyenc +1
We propose Quantum Vision (QV) theory as a new perspective for deep learning-based audio classification, applied to deepfake speech detection. Inspired by particle-wave duality in…