3 papers
eess.AS2026
Classical Machine Learning Baselines for Deepfake Audio Detection on the Fake-or-Real Dataset
Faheem Ahmad, Ajan Ahmed, Masudul Imtiaz
Deep learning has enabled highly realistic synthetic speech, raising concerns about fraud, impersonation, and disinformation. Despite rapid progress in neural detectors, transparen…
eess.AS2025
Descriptor:: Extended-Length Audio Dataset for Synthetic Voice Detection and Speaker Recognition (ELAD-SVDSR)
Rahul Vijaykumar, Ajan Ahmed, John Parker +4
This paper introduces the Extended Length Audio Dataset for Synthetic Voice Detection and Speaker Recognition (ELAD SVDSR), a resource specifically designed to facilitate the creat…
cs.SD2025
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
Md Jahangir Alam Khondkar, Ajan Ahmed, Stephanie Schuckers +1
Speech enhancement, particularly denoising, is vital in improving the intelligibility and quality of speech signals for real-world applications, especially in noisy environments. W…