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1.
Speech Emotion Recognition With Gender Recognition Subsystem
by Modi, Deep B., M.S.  California State University, Long Beach. 2017: 43 pages; 10263113.
3.
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
by Hu, Hongbing, Ph.D.  State University of New York at Binghamton. 2010: 145 pages; 3423029.
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Spoken word recognition of the reduced American English Flap
by Tucker, Benjamin V., Ph.D.  The University of Arizona. 2007: 183 pages; 3263243.
6.
Speech Segregation in Background Noise and Competing Speech
by Hu, Ke, Ph.D.  The Ohio State University. 2012: 147 pages; 10631003.
8.
Compensation for Nonlinear Distortion in Noise for Robust Speech Recognition
by Harvilla, Mark J., Ph.D.  Carnegie Mellon University. 2014: 150 pages; 3692092.
9.
Visual Speech Perception of Arabic Emphatics and Gutturals
by Foster, Maha Saliba, Ph.D.  University of Colorado at Boulder. 2016: 170 pages; 10151052.
10.
Automatic Snooker-Playing Robot with Speech Recognition Using Deep Learning
by Bhagat, Kunj H., M.S.  California State University, Long Beach. 2018: 61 pages; 10977867.
11.
Multi-Task and Transfer Learning in Low-Resource Speech Recognition
by Meyer, Josh, Ph.D.  The University of Arizona. 2019: 172 pages; 22615820.
12.
Development of a speech recognition system using the Mel Frequency Cepstrum Coefficient method
by Mahajan, Mayur, M.S.  California State University, Long Beach. 2016: 50 pages; 10141515.
13.
Toward understanding speech planning by observing its execution – Representations, modeling and analysis
by Ramanarayanan, Vikram, Ph.D.  University of Southern California. 2014: 170 pages; 3643149.
17.
Speech Motor Complexity in Childhood Apraxia of Speech
by Case, Julie E., Ph.D.  New York University. 2019: 185 pages; 13815309.
18.
Analysis and automatic recognition of tones in Mandarin Chinese
by Surendran, Dinoj Randal, Ph.D.  The University of Chicago. 2007: 105 pages; 3287100.
19.
The Use of Interpreters by Speech-Language Pathologists Conducting Bilingual Speech-Language Assessments
by Palfrey, Carol Lynn, Ed.D.  The George Washington University. 2013: 227 pages; 3557570.
20.
Effects of matched and mismatched stimulation rates on speech perception in bilateral cochlear implant users
by Sislian, Nicole Christine, Ph.D.  City University of New York. 2013: 104 pages; 3561639.
21.
Smoothing class transitions with hard labels
by Malkin, Jonathan, Ph.D.  University of Washington. 2010: 193 pages; 3406833.
22.
The reshaped mind: Searle, the biblical writers, and their beliefs about the effects of Christ's blood
by Williams-Tinajero, Lace Marie, Ph.D.  Fuller Theological Seminary, School of Theology. 2008: 228 pages; 3308927.
23.
Statistical methods of latent structure discovery in child-directed speech
by Panteleyeva, Natalya B., Ph.D.  Indiana University. 2010: 161 pages; 3439587.
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Robust Classification of Emotion in Human Speech Using Spectrogram Features
by Guven, Erhan, Ph.D.  The George Washington University. 2012: 133 pages; 3502353.
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Auditory event-related potentials recorded during passive listening and speech production
by Swink, Shannon D., Ph.D.  East Carolina University. 2010: 360 pages; 3419174.
27.
Invariant Recognition of Vocal Features
by Moore, Richard Channing, III, Ph.D.  University of California, Berkeley. 2011: 70 pages; 3616333.
28.
Speech in noise ability, outer hair cell function, and working memory for trained flute players
by Caldwell, Kelly A., M.S.  East Carolina University. 2015: 106 pages; 1590068.
29.
Effects of clipping distortion on an Automatic Speaker Recognition system
by Ramirez, Jose Luis, M.S.  University of Colorado at Denver. 2016: 51 pages; 10112619.
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