activity
20202026
most citedSubject-Aware Contrastive Learning for Biosignals

77 citations · 81 across the 15 of their papers we have counts for

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Showing cs.SDShow all

5 papers · 1 filter

cs.SD2025

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…

cs.SD2025

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…

cs.SD2024

Model-driven Heart Rate Estimation and Heart Murmur Detection based on Phonocardiogram

Jingping Nie, Ran Liu, Behrooz Mahasseni +2

Acoustic signals are crucial for health monitoring, particularly heart sounds which provide essential data like heart rate and detect cardiac anomalies such as murmurs. This study…

cs.SD2024★ 1 cited

Pre-Trained Foundation Model representations to uncover Breathing patterns in Speech

Vikramjit Mitra, Anirban Chatterjee, Ke Zhai +6

The process of human speech production involves coordinated respiratory action to elicit acoustic speech signals. Typically, speech is produced when air is forced from the lungs an…

cs.SD2023

Investigating salient representations and label Variance in Dimensional Speech Emotion Analysis

Vikramjit Mitra, Jingping Nie, Erdrin Azemi

Representations derived from models such as BERT (Bidirectional Encoder Representations from Transformers) and HuBERT (Hidden units BERT), have helped to achieve state-of-the-art p…