2 citations · 2 across the 4 of their papers we have counts for
5 papers
Investigation on the Robustness of Acoustic Foundation Models on Post Exercise Speech
Xiangyuan Xue, Yuyu Wang, Ruijie Yao +3
Automatic speech recognition (ASR) has been extensively studied on neutral and stationary speech, yet its robustness under post-exercise physiological shift remains underexplored.…
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…
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…
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…
Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals
Ran Liu, Ellen L. Zippi, Hadi Pouransari +5
Leveraging multimodal information from biosignals is vital for building a comprehensive representation of people's physical and mental states. However, multimodal biosignals often…