77 citations · 81 across the 15 of their papers we have counts for
4 papers · 1 filter
Learning the relative composition of EEG signals using pairwise relative shift pretraining
Christopher Sandino, Sayeri Lala, Geeling Chau +6
Self-supervised learning (SSL) offers a promising approach for learning electroencephalography (EEG) representations from unlabeled data, reducing the need for expensive annotation…
CPEP: Contrastive Pose-EMG Pre-training Enhances Gesture Generalization on EMG Signals
Wenhui Cui, Christopher Sandino, Hadi Pouransari +7
Hand gesture classification using high-quality structured data such as videos, images, and hand skeletons is a well-explored problem in computer vision. Leveraging low-power, cost-…
Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation
Jingping Nie, Dung T. Tran, Karan Thakkar +5
Auscultation, particularly heart sound, is a non-invasive technique that provides essential vital sign information. Recently, self-supervised acoustic representation foundation mod…
Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions
Vikramjit Mitra, Amrit Romana, Dung T. Tran +1
Spontaneous speech emotion data usually contain perceptual grades where graders assign emotion score after listening to the speech files. Such perceptual grades introduce uncertain…