Matthew Marbach

Neural network classifiers and Principal Component Analysis for blind signal to noise ratio estimation of speech signals

Ravi P. Ramachandran, Linda M. Head, Matthew Marbach, 2009, 2009 IEEE International Symposium on Circuits and Systems.

Comparison of Ensemble Techniques for Incremental Learning of New Concept Classes under Hostile Non-stationary Environments

Robi Polikar, Matthew Marbach, Hussein Syed Mohammed, 2006, 2006 IEEE International Conference on Systems, Man and Cybernetics.

A VECTOR QUANTIZERCLASSIFIERFOR BLINDSIGNALTO NOISERATIO ESTIMATIONOFSPEECHSIGNALS

Linda M. Head, Matthew Marbach, Russell Onduskol, 2006 .

A vector quantizer classifier for blind signal to noise ratio estimation of speech signals

Mark C. Huggins, Ravi P. Ramachandran, Linda M. Head, 2006, 2006 IEEE International Symposium on Circuits and Systems.

Blind Signal-to-Noise Ratio Estimation of Speech Based on Vector Quantizer Classifiers and Decision Level Fusion

Ravi P. Ramachandran, Linda M. Head, Matthew Marbach, 2017, J. Signal Process. Syst..

Blind Determination of the Signal to Noise Ratio of Speech Signals Based on Estimation Combination of Multiple Features

Brett Y. Smolenski, Mark C. Huggins, Ravi P. Ramachandran, 2006, APCCAS 2006 - 2006 IEEE Asia Pacific Conference on Circuits and Systems.

Can AdaBoost.M1 Learn Incrementally? A Comparison to Learn++ Under Different Combination Rules

Robi Polikar, Matthew Marbach, Hussein Syed Mohammed, 2006, ICANN.