Author

Aurosweta Mahapatra

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Preprint Sep 2026

Robust Cross-Domain Speech-Based Alzheimer's Disease Detection via Iterative Adversarial Self-Training

As Alzheimer's disease (AD) has increasingly become a major global public health issue, speech-based AD detection has attracted widespread attention. However, most existing methods are trained and evaluated on a single dataset, often leading to severe cross-domain performance degradation due to reliance on dataset-spec...

Lu Sun, Shreeram Suresh Chandra, Aurosweta Mahapatra et al. · 0 citations

Preprint Aug 2026

AffectDF: The Most Comprehensive Benchmark for Speech Deepfake Detection against Emotionally Expressive Attacks

Speech deepfake detection (SDD) systems achieve strong performance on conventional benchmarks; however, existing datasets provide limited coverage of emotionally expressive and recent large audio-language model (LALM)-based attacks. Existing emotional spoofing datasets are also limited in scale and attack diversity, ty...

Aurosweta Mahapatra, Xiutian Zhao, Shreeram Suresh Chandra et al. · 1 citation

Preprint Sep 2026

Not All Attacks Are Learned Equally in Speech Deepfake Detection

Speech deepfake detection (SDD) models are trained on multi-attack datasets containing diverse spoofing systems, such as text-to-speech (TTS) and voice conversion (VC). In standard classifier training on multi-attack datasets, all attacks are treated as one spoofed class, and performance is reported using overall Equal...

Avantika Singh, Aurosweta Mahapatra, Ismail Rasim Ulgen et al. · 0 citations