CNEL Alumnus: Mark Skowronski

Former student webpage:
About Me

Mark Skowronski is a recent Ph.D. graduate under the supervision of Dr. John G. Harris of the Computational Neuro-Engineering Lab (CNEL). See for details.
My Research Interests

Noise robust feature extraction, automatic speech recognition, nonlinear dynamics, Freeman model
Research Goals

I would like to improve automatic speech recognition technology, specifically in two areas. Current ASR is limited by test/train mismatch--I would like to decrease this mismatch by investigating noise-robust feature extraction. Also, current ASR handles the time-varying nonstationary nature of human speech poorly. I want to develop a classification method, inspired by our knowledge of the functioning of the human brain, that exhibits recognition performance in adverse listening environments closer to that of the human auditory system when compared with current HMM-based systems.

CNEL Papers
Conference Papers
1Mark D. Skowronski, John G. Harris, "Increased mfcc Filter Bandwidth for Noise-robust Phoneme Recognition", Intl. Conf. on Acoustics, Speech, and Signal Processing, pp. 801-804, Mar. 2002 (author PDF)
2Mark D. Skowronski, John G. Harris, "A Probabilistic Analysis of the Ratio Spectrum", Symposium on Adaptive Systems for Signal Processing, Communications and Control, pp. 333-336, Oct. 2000 (author PDF)

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