Mark D. Skowronski
NEB 465, Bldg 33
University of Florida
Gainesville, FL 32611
(352) 392-8942 (w)
(352) 392-0044 (f)
P.O. Box 142793
Gainesville, FL 32614
(352) 332-5470 (h)
markskow@cnel.ufl.edu
http://www.cnel.ufl.edu/~markskow
Research Interests
Biologically inspired signal processing and modeling, automatic speech recognition and
enhancement, animal bioacoustics, pregnancy monitoring
Education
Ph.D.
M.S.
B.S.
Electrical and Computer Engineering
Electrical and Computer Engineering
Electrical Engineering, with Honors
University of Florida
University of Florida
University of Florida
May 2004
Dec. 1997
July 1995
Research Funding
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Motorola Labs, Plantation, FL: Contributing investigator, speech signal processing, $500,000,
2000-present
National Science Foundation: Contributing investigator, “SBIR Phase II: Information Theoretic
Learning and Application to Fetal ECG,” #0239060, $595,578, 2003-2005
Office of Naval Research: Contributing investigator, “Information Dynamics and Design of
Neuromorphic Silicon Cortices,” $481,586, 2001-2004
College of Engineering, University of Florida: Doctoral Fellowship winner, $15,000, 1997-1998
Journal Publications
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Mark D. Skowronski and John G. Harris, “Noise-robust automatic speech recognition using
minimum mean-squared error switching prediction models,” IEEE Trans. Speech Audio Proc.,
2005, second review
Tammy Y. Euliano, Rodney K. Edwards, Mark D. Skowronski, and Dorothee E. Marossero,
"Predcition of intrauterine pressure from transabdominal electrohysterography," Am. J. Obstet.
Gynecol., 2005, submitted
Mark D. Skowronski, John G. Harris, Dorothee E. Marossero, Rodney K. Edwards, and Tammy
Euliano, “Prediction of intrauterine pressure from electrohysterography using optimal linear
filtering,” IEEE Trans. Biomed. Eng., 2005, accepted
Mark D. Skowronski and John G. Harris, “Acoustic microchiroptera detection and classification
using machine learning: lessons learned from automatic speech recognition,” J. Acoustical Society
of America, vol. 119, no. 3, pp. 1817-1833, Mar. 2006
Mark D. Skowronski, John G. Harris, “Applied principles of clear and Lombard speech for
intelligibility enhancement in noisy environments,” Speech Communication, vol. 48, no. 5 , pp.
549-558, May 2006
Mark D. Skowronski and John G. Harris, “Exploiting independent filter bandwidth of human
factor cepstral coefficients in automatic speech recognition,” J. Acoustical Society of America,
vol. 116, no. 3, pp. 1774-1780, Sept. 2004
Mark D. Skowronski
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Conference Publications
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Mark D. Skowronski and John G. Harris, "Noise-robust isolated English digit automatic
recognition using a discriminative echo state network," in Interspeech 2006 conference,
Pittsburgh, PA, Sept 17 - 21, 2006, submitted
John G. Harris and Mark D. Skowronski, “Automatic Speech Processing Methods For Bioacoustic
Signal Analysis: A Case Study Of Cross-Disciplinary Acoustic Research,” in the IEEE Intl. Conf.
on Acoustics, Speech, and Signal Processing, Toulouse, France, May 15 - 19, 2006, accepted
Mark D. Skowronski and John G. Harris, “Minimum mean squared error time series classification
using an echo state network prediction model,” IEEE International Symposium on Circuits and
Systems, Island of Kos, Greece, May 21 - 24, 2006, accepted
Mark D. Skowronski and John G. Harris, “Improving The Filter Bank Of A Classic Speech
Feature Extraction Algorithm,” IEEE International Symposium on Circuits and Systems,
Bangkok, Thailand, vol IV, pp 281-284, ISBN: 0-7803-7761-3, May 25 - 28, 2003
Mark D. Skowronski and John G. Harris, “Increased mfcc Filter Bandwidth for Noise-robust
Phoneme Recognition,” IEEE International Conference on Acoustics, Speech and Signal
Processing, Orlando, FL, USA, vol I, pp 801-804, ISBN: 0-7803-7403-7, May 13-17, 2002
Mark D. Skowronski and John G. Harris, “A Probabilistic Analysis of the Ratio Spectrum,”
Symposium 2000: Adaptive Systems for Signal Processing, Communications, and Control, Lake
Louise, Alberta, CA, pp 333-336, ISBN: 0-7803-5800-7, Oct 1-4, 2000
Conference Abstracts
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Mark D. Skowronski and John G. Harris, “Automatic classification of microchiropteran
echolocation calls: why the current technology is wrong and what can be done about it,” 35th
annual North American Symposium on Bat Research, Oct. 2005, Sacramento, CA
Mark D. Skowronski and John G. Harris, “Automatic detection of microchiroptera echolocation
calls from field recordings using machine learning algorithms,” J. Acoust. Soc. Am., vol. 117, no.
4, p. 2552, Vancouver, CA, May 2005
Meena Ramani, John G. Harris, Alice Holmes, Mark D. Skowronski, and Sharon Powell,
“Comparison of hearing loss compensation algorithms using speech intelligibility measures,” J.
Acoust. Soc. Am., vol. 117, no. 4, p. 2604, Vancouver, CA, May 2005
Jimmy Harnsberger, Rahul Shrivastav, and Mark D. Skowronski, “The role of psychophysical
difference in the discrimination of non-native contrasts,” J. Acoust. Soc. Am., vol. 117, no. 4, p.
2460, Vancouver, CA, May 2005
Manasa Raghavan, Mark D. Skowronski, and John G. Harris, “Enhanced energy redistribution
speech intelligibility algorithm with real-time implementation,” J. Acoust. Soc. Am., vol. 116, no.
5, p. 2482, San Diego, CA, USA, Nov. 2004
Mark D. Skowronski and John G. Harris, “Statistical automatic species identification of
microchiroptera from echolocation calls: lessons learned from human automatic speech
recognition,” J. Acoustical Society of America, vol. 116, no. 5, p. 2639, San Diego, CA, USA,
Nov. 2004
John G. Harris and Mark D. Skowronski, “Energy redistribution speech intelligibility
enhancement, vocalic and transitional cues,” J. Acoust. Soc. Am., vol. 112, no. 5, p. 2279,
Cancun, Mexico, Nov. 2002
Mark D. Skowronski and John G. Harris, “Human Factor Cepstral Coefficients,” J. Acoust. Soc.
Am., vol. 112, no. 5, p. 2305, Cancun, Mexico, Nov. 2002
Mark D. Skowronski
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Other Publications
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Mark D. Skowronski, “Biologically inspired noise-robust speech recognition for both man and
machine,” Ph.D. dissertation, Electrical and Computer Engineering, University of Florida,
Gainesville, FL, USA, May 2004
Invited Presentations
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“Automatic detection and classification of microchiropteran echolocation calls: why the current
technology is wrong and what can be done about it,” Electrical and Computer Engineering,
University of Florida, Oct. 25, 2005
“Review of North American Symposium on Bat Research, Oct. 19-22, 2005: An engineer’s
perspective,” Electrical and Computer Engineering, University of Florida, Oct. 25, 2005
“Prediction of intrauterine pressure from electrohysterography using optimal linear filtering,”
Electrical and Computer Engineering, University of Florida, Aug. 31, 2005
“Automatic detection of microchiroptera echolocation calls from field recordings using machine
learning algorithms,” 149th Meeting of the Acoustical Society of America, Vancouver, British
Columbia, CA, May 19, 2005
“Statistical automatic identification of microchiroptera (bats) from echolocation calls: Lessons
learned from human automatic speech recognition,” Electrical and Computer Engineering,
University of Florida, Dec. 1, 2004
“Statistical automatic identification of microchiroptera from echolocation calls: Lessons learned
from human automatic speech recognition,” 148th Meeting of the Acoustical Society of America,
San Diego, CA, Nov. 19, 2004
“Automatic Speech Recognition: a summary of contributions from multiple disciplines,”
Communication Sciences and Disorders, University of Florida, Oct. 6, 2004
“Motorola Project 2004,” Electrical and Computer Engineering, University of Florida, Sept. 15,
2004
“The Freeman model as an associative memory: application to static pattern recognition,”
Symposium on Intentional Dynamic Systems, University of Memphis, Tennessee, Apr. 25, 2004
“Hearing and Audio I,” Electrical and Computer Engineering, University of Florida, Apr. 7, 2004
“Speech Features,” Electrical and Computer Engineering, University of Florida, Feb. 27, 2004
“Hidden Markov Model,” Electrical and Computer Engineering, University of Florida, Mar. 31,
2003
“Windows,” Electrical and Computer Engineering, University of Florida, Feb. 10, 2003
“Human Factor Cepstral Coefficients: Biological Inspiration + Engineering = Noise-robust Speech
Features,” 144th Meeting of the Acoustical Society of America, First Pan-American/Iberian
Meeting on Acoustics, Cancun, Mexico, Dec. 3, 2002
“Human Factor Cepstral Coefficients: improving on a generation’s speech feature extraction
algorithm,” Electrical and Computer Engineering, University of Florida, Sept. 18, 2002
“Dynamic Time Warping and the Ratio Spectrum,” Electrical and Computer Engineering,
University of Florida, Oct. 18, 2000
Academic Service
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Reviewer:
a. J. Acoustical Society of America
b. Speech Communication
c. IEEE Signal Processing Letters
d. EURASIP J. Applied Signal Processing
e. IEEE Intl. Conference on Acoustics, Speech, and Signal Processing
f. IEEE Intl. Symposium on Circuits and Systems
Engineering Fair, University of Florida: Captain of CNEL exhibit, 2000-2001, Co-Captain of
CNEL exhibit, 2002-2004, various hands-on signal processing demonstrations for grade schoolers.
Cycling Team, University of Florida, Road Men’s B, 2000, Secretary, 2001
Mark D. Skowronski
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Professional Experience
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Post-doctoral Research Associate, Computational Neuro-Engineering Lab
University of Florida, Gainesville, FL
May 2004 - Present
Research Assistant, Computational Neuro-Engineering Lab
University of Florida, Gainesville, FL
May 1999 - May 2004
Research Assistant, Photonics Research Laboratory
University of Florida, Gainesville, FL
May 1996 - May 1999
Teaching Assistant
University of Florida, Gainesville, FL
a) Senior Design, Aug. 1995 - Aug. 1996
b) Automatic Speech Processing, Jan. 2001 - May 2001, Jan. 2002 - May 2002
c) Introduction to Digital Signal Processing, May 2001 - Aug. 2001
Tutor
University of Florida, Gainesville, FL
FORTRAN, C++, Aug. 1993 - Aug. 1996
Awards
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Acoustical Society of America, 144th Meeting, Best Paper in Signal Processing in Acoustics,
“Human Factor Cepstral Coefficients,” Dec. 2 - 6, 2002, Cancun, Mexico
Motorola Achievement Award, “Development of a Speech Analysis Environment,” 2002
Eta Kappa Nu, member, 1994
References
Available upon request.