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1.
Speech Segregation in Background Noise and Competing Speech
by Hu, Ke, Ph.D.  The Ohio State University. 2012: 147 pages; 10631003.
2.
The Role of Empirical Evidence in Modeling Speech Segmentation
by Phillips, Lawrence, Ph.D.  University of California, Irvine. 2015: 150 pages; 10027743.
3.
Generalized Conditional Matching Algorithm for Ordered and Unordered Sets
by Krishnan, Ravikiran, Ph.D.  University of South Florida. 2014: 120 pages; 3666203.
4.
First grade students' awareness of final consonant clusters in monomorphemic words: Does dialect matter?
by Shollenbarger, Amy, Ph.D.  University of Arkansas for Medical Sciences. 2014: 154 pages; 3621713.
5.
Automatic detection and classification of prosodic events
by Rosenberg, Andrew, Ph.D.  Columbia University. 2009: 381 pages; 3393597.
6.
Examining phonemic awareness in children with expressive phonological disorders
by Thomas, Donna, Ph.D.  University of Arkansas for Medical Sciences. 2013: 135 pages; 3610370.
7.
Statistical methods of latent structure discovery in child-directed speech
by Panteleyeva, Natalya B., Ph.D.  Indiana University. 2010: 161 pages; 3439587.
8.
Unsupervised Learning of Derivational Morphological Constraints
by Sulaiman, Suriani, Ph.D.  Indiana University. 2017: 203 pages; 10687281.
9.
Analysis of environmental sounds
by Lee, Keansub, Ph.D.  Columbia University. 2009: 116 pages; 3388467.
11.
Navigating Video Using Structured Text
by Pavel, Amy, Ph.D.  University of California, Berkeley. 2019: 107 pages; 13886327.
12.
Discovering structure in music: Automatic approaches and perceptual evaluations
by Nieto, Oriol, Ph.D.  New York University. 2015: 266 pages; 3705329.
13.
Neural and behavioral correlates of song prosody
by Gordon, Reyna Leigh, Ph.D.  Florida Atlantic University. 2010: 206 pages; 3424225.
15.
The minimal word hypothesis: A speech segmentation strategy
by Meador, Diane L., Ph.D.  The University of Arizona. 1996: 279 pages; 3600287.
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17.
Towards Temporal Semantic Scene Understanding
by Ghafarianzadeh, Mahsa, Ph.D.  University of Colorado at Boulder. 2017: 152 pages; 10271366.
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19.
Beyond dynamic textures: A family of stochastic dynamical models for video with applications to computer vision
by Chan, Antoni Bert, Ph.D.  University of California, San Diego. 2008: 291 pages; 3331461.
20.
L1 Biases in Learning Root-and-Pattern Morphology
by Drake, Shiloh Nicole, Ph.D.  The University of Arizona. 2018: 126 pages; 10932694.
21.
Synchronizing Rhythms: Neural Oscillations Align to Rhythmic Patterns in Sound
by Doelling, Keith Bryant, Ph.D.  New York University. 2018: 145 pages; 10928751.
22.
Registration and segmentation of brain MR images from elderly individuals
by Wu, Minjie, Ph.D.  University of Pittsburgh. 2009: 144 pages; 3400494.
23.
Longitudinal Tissue Segmentation Methods for the Aging Brain
by Schwarz, Christopher George, Ph.D.  University of California, Davis. 2012: 148 pages; 3540732.
26.
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.
27.
Advanced techniques for semantic concept detection in general videos
by Jiang, Wei, Ph.D.  Columbia University. 2010: 179 pages; 3420869.
28.
Children's perceptions of the graphic features they use to differentiate their writing from drawing
by Mortensen, Jennifer A., M.S.  University of Nevada, Reno. 2009: 81 pages; 1467793.
29.
Spoken word recognition of the reduced American English Flap
by Tucker, Benjamin V., Ph.D.  The University of Arizona. 2007: 183 pages; 3263243.
30.
An efficient approach to machine learning based text classification through distributed computing
by Immaneni, Raghu Nandan, M.S.  California State University, Long Beach. 2015: 86 pages; 1603338.
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