2 papers
eess.AS2026
Unmixing The Crowd: Learning Persistent Speaker Representations from Mixture-Derived Multi-Speaker Embeddings
Sidharth Sidharth, Meysam Asgari, Hao-Wen Dong +1
We study whether persistent conversational speaker structure can be extracted directly from local overlapping speech mixtures. We propose a teacher-student framework that learns mi…
eess.SP2025
PainDECOG: Machine Learning-Based Identification of Pain Biomarkers from sEEG Signals
Sidharth Sidharth, Vishwas Sathish, Shweta Bansal +5
This study presents a systematic machine-learning approach for classifying acute pain from raw electrophysiological signals. We address binary and ternary classification tasks, lev…