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1
Dimensionality Reduction Methods for HMM Phonetic Recognition," ICASSP 2010, Dallas, TX, http://bingweb.binghamton.edu/~hhu1/paper/Hu2010Dimensionality.pdf .(accessed on September 14 2012) [2
In: http://harvey.binghamton.edu/~hhu1/paper/Hu2010Dimensionality.pdf (2010)
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2
SPEAKER NORMALIZATION FOR IMPROVED AUTOMATIC SPEECH RECOGNITION FOR DIGITAL LIBRARIES
In: http://www.ws.binghamton.edu/zahorian/pdf/speaker normalization for improved automatic speech recognition for digital libraries thesis wang.pdf (2004)
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3
Discriminative and maximum likelihood classifiers for computer-based visual feedback for speech training for the hearing impaired
In: http://www.ws.binghamton.edu/zahorian/pdf/Discriminative and Maximum Likelihood Classifiers for Computer-Based Visual Feedback for Speech Training.pdf (2000)
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4
Phone classification with segmental features and a binarypair partitioned neural network classifier
In: http://ws2.binghamton.edu/zahorian/pdf/PHONE CLASSIFICATION WITH SEGMENTAL FEATURES AND A BINARY-PAIR PARTITIONED NEURAL NETWORK CLASSIFIER.pdf (1997)
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5
Approved by:
In: http://www.ws.binghamton.edu/zahorian/pdf/speech feature computations for visual speech articulation training thesis stefan.pdf (1996)
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6
SMOOTHED TIME/FREQUENCY FEATURES FOR VOWEL CLASSIFICATION
In: http://www.ws.binghamton.edu/zahorian/pdf/smoothed time frequency features.pdf
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7
Vowel Classification for Computer-Based Visual Feedback for Speech Training for the Hearing Impaired
In: http://www.ws.binghamton.edu/zahorian/pdf/Vowel Classification for Computer-Based Visual Feedback for Speech Training for the Hearing Impaired.pdf
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8
Open Source Multi-Language Audio Database for Spoken Language Processing Applications
In: http://www.ws.binghamton.edu/zahorian/pdf/OpenDatabase_v34.pdf
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