ECE Seminar: Speech-Based Biomarkers for Human Health

Speaker: Dr. Sudarsana Reddy Kadiri, Research Scientist, Signal Analysis and Interpretation Lab (SAIL), Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California

Talk Title: Speech-Based Biomarkers for Human Health

Abstract: Speech is the most natural form of communication between humans, and it carries a wealth of information, including the message, language, speaker's age, gender, emotion, and health status.  This talk focuses on the intersection of machine learning and signal processing applied to the field of speech-based biomarkers for human health. Biomarking of human health is a relatively new and promising approach for screening, diagnosis, and monitoring. Speech-based health analytics can provide valuable insights into an individual's health, allowing for early detection of various conditions such as respiratory disorders, voice disorders, cardiovascular disorders, neurological disorders, and mental health disorders. This technology is also convenient, as it enables remote monitoring of health that can be conducted continuously over time, and it requires no physical intervention. In this talk, I will present my recent research on interpretable speech-based biomarkers for laryngeal disorders, Parkinson's disease and heart failure.

Biography: Sudarsana Reddy Kadiri is a Research Scientist at the Signal Analysis and Interpretation Lab (SAIL), University of Southern California, hosted by Prof. Shrikanth Narayanan. Previously, he was a Research Fellow and Postdoctoral Researcher in the Dept. of Information and Communications Engineering at Aalto University, Finland. He earned his Ph.D. in Electronics and Communication Engineering (ECE) from IIIT-Hyderabad, India, in 2018, and his B.Tech. in ECE from JNTU-Hyderabad in 2011. He has been actively involved in teaching and supervision, serving as a Teaching Assistant at IIIT-Hyderabad and a co-teacher at Aalto University. He has co-supervised one Ph.D. student and four master’s thesis students, and is currently co-supervising two Ph.D. students at Aalto University. His research interests include signal processing for biomedical signals, speech science, computational paralinguistics, speech- and multimodal-based health biomarkers, machine/deep learning, and auditory neuroscience. He has published over 80 peer-reviewed research papers and serves as a reviewer for leading journals and conferences, including IEEE, Elsevier, Springer, Frontiers, and PLOS. He was awarded the Tata Consultancy Services (TCS) Fellowship for his Ph.D. His achievements also include winning two sub-challenges (Vocalizations and Stuttering) in the ACM-MM ComParE Challenge 2022.

Host: Dr. Richard Leahy, leahy@usc.edu

Webcast: https://usc.zoom.us/j/96359120124?pwd=u5k7bHTJoWgp4lt1pLiXdbO0437Uyy.1

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

WebCast Link: https://usc.zoom.us/j/96359120124?pwd=u5k7bHTJoWgp4lt1pLiXdbO0437Uyy.1

Audiences: Everyone Is Invited

Contact: Mayumi Thrasher

This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.