M. Skowronski

发表

Prediction of Intrauterine Pressure From Electrohysterography Using Optimal Linear Filtering

John G. Harris, Tammy Y. Euliano, Mark D. Skowronski, 2006, IEEE Transactions on Biomedical Engineering.

Perceptual and Quantitative Assessment of Dysphonia Across Vowel Categories.

Mark D. Skowronski, D. Eddins, R. Shrivastav, 2019, Journal of voice : official journal of the Voice Foundation.

The Perception of Breathiness in the Voices of Pediatric Speakers.

Lisa M. Kopf, D. Eddins, R. Shrivastav, 2017, Journal of voice : official journal of the Voice Foundation.

Automatic speech recognition using a predictive echo state network classifier

John G. Harris, Mark D. Skowronski, J. Harris, 2007, Neural Networks.

Acoustic discrimination of healthy swallows from upper airway movements.

Mark D. Skowronski, M. Crary, R. Shrivastav, 2013, The Journal of the Acoustical Society of America.

Exploiting independent filter bandwidth of human factor cepstral coefficients in automatic speech recognition.

Mark D Skowronski, John G Harris, J. Harris, 2004, The Journal of the Acoustical Society of America.

Cepstral Peak Sensitivity: A Theoretic Analysis and Comparison of Several Implementations.

Rahul Shrivastav, Mark D Skowronski, Eric J Hunter, 2015, Journal of voice : official journal of the Voice Foundation.

Acoustic detection and classification of Microchiroptera using machine learning: lessons learned from automatic speech recognition.

Mark D Skowronski, John G Harris, J. Harris, 2006, The Journal of the Acoustical Society of America.

Increased mfcc filter bandwidth for noise-robust phoneme recognition

John G. Harris, Mark D. Skowronski, J. Harris, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Noise-Robust Automatic Speech Recognition Using a Predictive Echo State Network

John G. Harris, Mark D. Skowronski, J. Harris, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Detecting Bat Calls: An Analysis of Automated Methods

Mark D. Skowronski, M. Brock Fenton, M. Brock Fenton, 2009 .

Variation in the use of Harmonics in the Calls of Laryngeally Echolocating Bats

P. Faure, M. B. Fenton, L. McGuire, 2011 .

Comparison of Pitch Strength With Perceptual and Other Acoustic Metric Outcome Measures Following Medialization Laryngoplasty.

Rahul Shrivastav, Eric J. Hunter, Mark D. Skowronski, 2019, Journal of voice : official journal of the Voice Foundation.

BIOLOGICALLY-INSPIRED NOISE-ROBUST SPEECH RECOGNITION FOR BOTH MAN AND MACHINE

Mark D. Skowronski, M. Skowronski, 2002 .

Applied principles of clear and Lombard speech for automated intelligibility enhancement in noisy environments

John G. Harris, Mark D. Skowronski, J. Harris, 2006, Speech Commun..

Antiphonal calling allows individual discrimination in white-winged vampire bats

Mark D. Skowronski, G. Carter, P. Faure, 2008, Animal Behaviour.

Improving the filter bank of a classic speech feature extraction algorithm

John G. Harris, Mark D. Skowronski, J. Harris, 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..

Computational Neural Networks

John G. Harris, Jose C. Principe, Dongming Xu, 2005 .

Minimum mean squared error time series classification using an echo state network prediction model

John G. Harris, Mark D. Skowronski, J. Harris, 2006, 2006 IEEE International Symposium on Circuits and Systems.

2007 Special Issue: Automatic speech recognition using a predictive echo state network classifier

J. Harris, M. Skowronski, 2007 .

Prediction of intrauterine pressure waveform from transabdominal electrohysterography

Mark D. Skowronski, Dorothee E. Marossero, T. Euliano, 2006, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.