Multimodal Signal Processing (MSP)
OVERVIEW
The MSP laboratory is dedicated to advance technology in the area human-centered multimodal signal processing. We are looking at theoretical problems with practical applications. Our goal is to develop methods, algorithms and models to recognize and synthesize human verbal and non-verbal communication behaviors to improve human machine interaction.
Our current research includes:
- Affective computing
- Speech, video and multimodal processing
- Multimodal human-machine interfaces
- Analysis and modeling of verbal and non-verbal interaction
- Human interaction analysis and modeling
- Multimodal speaker identification
- Meeting analysis and intelligent meeting spaces
- Machine learning methods for multimodal processing
FACULTY LEAD
Dr. Carlos Busso
busso@utdallas.edu
Phone: 972-883-4351
Office: ECSN 4.216
800 West Campbell Rd.
Mailstop: EC33
Richardson, TX 75080-3021
BIOGRAPHY
Carlos Busso is a professor in the Department of Electrical and Computer Engineering in Erik Jonsson School of Engineering & Computer Science, at The University of Texas at Dallas.
RESEARCH INTERESTS
My research program is on human-centered multimodal machine intelligence and applications for speech-based interfaces . My current research includes the broad areas of affective computing, multimodal human-machine interfaces, nonverbal behaviors for conversational agents, in-vehicle active safety systems, and machine learning methods for multimodal processing. The outcomes of my research program have direct implications in many practical domains, including national security, health care, entertainment, transportation systems, and education.