19 citations · 19 across the 3 of their papers we have counts for
3 papers
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…
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…
Emotion Detection from EEG using Transfer Learning
Sidharth Sidharth, Ashish Abraham Samuel, Ranjana H +2
The detection of emotions using an Electroencephalogram (EEG) is a crucial area in brain-computer interfaces and has valuable applications in fields such as rehabilitation and medi…