Author

Mohammad Nur Hossain Khan

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#artificial intelligence Preprint Oct 2026

DriftTTS: Few-Step Text-to-Speech Without Distillation via Distribution-Matching Drift

Few-step neural text-to-speech models often rely on short- ened diffusion or flow-matching schedules, or on distillation from pretrained multi-step teachers. To avoid these depen- dencies, we present DriftTTS, a few-step mel-spectrogram generator trained without a generative teacher, distillation, or adversarial discri...

Mohammad Nur Hossain Khan, Subrata Biswas, Bashima Islam · 0 citations

#machine learning Preprint Sep 2026

BeatGraph: Self-Supervised Heartbeat Graphs for Infant ECG Representations from the Home Environment

Electrocardiogram (ECG) foundation models typically tokenize the signal into fixed-length patches that ignore cardiac structure, so a patch may split a heartbeat and the number of beats in each patch shifts with heart rate. This matters most for infants, whose heart rates are higher and whose ECG differs from the adult...

Mohammad Nur Hossain Khan, M. Krafczyk, Beverly G. Bolster et al. · 0 citations