Speech Recognition using Dynamical Systems Models

People

Faculty

Former Students

Lilia Brown
Jusin Evert
Paul Hoffmann
Kevin Indreb
Andrew Lindgren
Xiaolin Liu
Sarah Schmit
Tim Stolldorf
Jinjin Ye

Profiles

Michael T. Johnson	Dr. Johnson was an Assistant Professor at Marquette. His current research interests include speech recognition, signal processing, natural language processing, machine learning, and bioacoustics. Courses he has taught recently include Digital Signal Processing, Speech Processing, Adaptive and Optimal Signal Processing, Information Theory, and Computer Hardware. Dr. Johnson holds a Ph.D. from Purdue University in the area of Electrical and Computer Engineering, as well as a Master's degree in Electrical Engineering and Bachelor's degrees in Computer Science Engineering and Electrical Engineering. His Ph.D. research at Purdue focused on utilizing language models and prosody to improve speech recognition accuracy. In addition, he has significant engineering experience in industry in hardware design as well as engineering management.

Richard J. Povinelli	Dr. Povinelli owns a bachelor of science degree in electrical engineering as well as a bachelor of arts in psychology. He also holds a master of science in computer systems and engineering and a Ph.D. in electrical and computer engineering. His industrial experience comes primarily from GE Medical Systems, where he was a global project leader. At Marquette he has taught classes on topics such as computer hardware and software, as well as time series data mining and artificial intelligence among others. His research interests include time series data mining, computational intelligence, financial engineering, evolutionary algorithms, and more.

Lilia Brown	Lilia was an undergraduate student in the Electrical and Computer Enginineering program at Marquette.

Justin Evert	Justin was an undergraduate student in the Electrical and Computer Enginineering program at Marquette.

Paul Hoffmann	Paul received his Bachelor of Science in computer engineering in 2003 from Marquette University. He was an undergraduate student on the project from May 2002 through July 2004. He is currently pursuing graduate studies in the Intelligent Systems Program at the University of Pittsburgh.

Kevin Indrebo	Kevin received his Bachelor of Science in computer engineering (2002) from Marquette University with a minor in mathematics. He has participated in research as both an undergraduate and graduate student in speech recognition here at Marquette and is currently working toward his Master of Science degree in electrical and computer engineering. His research interests include speech recognition and understanding, artificial intelligence, machine learning, and nonlinear signal processing.

Andrew Lindgren	Andrew received his bachelor of science in applied physics (2001) with high honors from DePaul University. He has conducted research at Argonne National Laboratory in non-destructive evaluation techniques for industrial ceramics from 1999 to 2001, and has also carried out research in the area of condensed matter physics which involved modeling magnetic reversal properties on ultra-thin films. His current research interests include speech recognition and enhancement, artificial intelligence and pattern recognition, and nonlinear dynamics and chaos theory.

Xiaolin Liu	Xiaolin received a bachelor degree in electronics from Northwestern Polytechnical University (NPU) in Xi'an China in 1994, and later received a masters degree in the area of communication and electronic systems. Additionally he owns a masters degree in communication from Nanyang Technological University in Singapore in 2000. Before joining Marquette University, he was a senior engineer working with Kent Ridge Digital Labs in Singapore on digital audio broadcasting and networking related projects. He is currently working torwards his Ph.D. His research interests include signal processing, applying nonlinear analysis methods to speech processing, time series analysis and modeling, data mining, pattern recognition, etc.

Sarah Schmit	Sarah was an undergraduate student in the Computer Engineering program at Marquette.

Tim Stolldorf	Tim was an undergraduate student in the Computer Enginineering program at Marquette.

Jinjin Ye	Jinjin received a bachelor of science degree in Electrical Engineering, and is now a masters student at Marquette. Currently, his research interestes include Signal Processing, Speech Recognition, and Machine Learning.

This material is based upon work supported by the National Science Foundation under Grant No. 0113508.

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.