Erdrin Azemi

According to our database, Erdrin Azemi authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Foundation Model Hidden Representations for Heart Rate Estimation from Auscultation.

Jingping Nie, Dung T. Tran, Karan Thakkar, Vasudha Kowtha, Jonathan Huang, Carlos Avendaño, Erdrin Azemi, Vikramjit Mitra

CoRR, May, 2025

Modeling speech emotion with label variance and analyzing performance across speakers and unseen acoustic conditions.

Vikramjit Mitra, Amrit Romana, Dung T. Tran, Erdrin Azemi

CoRR, March, 2025

Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement.

Gaurav Patel, Christopher Michael Sandino, Behrooz Mahasseni, Ellen L. Zippi, Erdrin Azemi, Ali Moin, Juri Minxha

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Promoting cross-modal representations to improve multimodal foundation models for physiological signals.

Ching Fang, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Hadi Pouransari, Erdrin Azemi, Ali Moin, Ellen L. Zippi

CoRR, 2024

Generalizable autoregressive modeling of time series through functional narratives.

Ran Liu, Wenrui Ma, Ellen L. Zippi, Hadi Pouransari, Jingyun Xiao, Christopher M. Sandino, Behrooz Mahasseni, Juri Minxha, Erdrin Azemi, Eva L. Dyer, Ali Moin

CoRR, 2024

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

Jingping Nie, Ran Liu, Behrooz Mahasseni, Erdrin Azemi, Vikramjit Mitra

CoRR, 2024

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

Vikramjit Mitra, Anirban Chatterjee, Ke Zhai, Helen Weng, Ayuko Hill, Nicole Hay, Christopher Webb, Jamie Cheng, Erdrin Azemi

CoRR, 2024

Investigating Salient Representations and Label Variance in Dimensional Speech Emotion Analysis.

Vikramjit Mitra, Jingping Nie, Erdrin Azemi

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Frequency-Aware Masked Autoencoders for Multimodal Pretraining on Biosignals.

Ran Liu, Ellen L. Zippi, Hadi Pouransari, Christopher M. Sandino, Jingping Nie, Hanlin Goh, Erdrin Azemi, Ali Moin

CoRR, 2023

Pre-Trained Model Representations and Their Robustness Against Noise for Speech Emotion Analysis.

Vikramjit Mitra, Vasudha Kowtha, Hsiang-Yun Sherry Chien, Erdrin Azemi, Carlos Avendaño

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Speech Emotion: Investigating Model Representations, Multi-Task Learning and Knowledge Distillation.

Vikramjit Mitra, Hsiang-Yun Sherry Chien, Vasudha Kowtha, Joseph Yitan Cheng, Erdrin Azemi

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2020

Subject-Aware Contrastive Learning for Biosignals.

Joseph Y. Cheng, Hanlin Goh, Kaan Dogrusoz, Oncel Tuzel, Erdrin Azemi

CoRR, 2020