| title | Detecting and Tracking Lips in Unconstrained Imagery |
| lName | Zhang |
| fName | Jane |
| phone | 756-7528 |
| jzhang@calpoly.edu | |
| additional | |
| department | Electrical Engineering |
| proj_desc | When combined with acoustical speech information, visual speech information (lip movement) significantly improves Automatic Speech Recognition (ASR) in acoustically noisy environments. Previous research has demonstrated that visual modality is a viable tool for identifying speech. However, the visual information has yet to become utilized in mainstream ASR systems due to the difficulty in accurately tracking lips in real-world conditions. In this project, student will develop a lip detection and tracking system in visually challenging environment.
The applications include improved automatic speech recognition, and biometric speaker identification. |
| inter_desc | The subject of computer vision is interdisciplinary in nature. It is closely related to a wide range of fields including signal processing, pattern recognition, machine learning, physics, neurobiology, statistics. |
| links | |
| students | 2 |
| majors | CPE, EE, CSC, ENGR, MATH, MATH, STAT, PHYS |
| desired_res | This project will train students in the field of digital image processing, computer vision and pattern recognition. Students with basic knowledge in signal processing and good math skills could make a contribution to this project. |
| date_added | 2008-10-19 12:59:25 |