Ph.D. Dissertations - Nelson Morgan
Combining Speech and Speaker Recognition - A Joint Modeling Approach
Hang Su [2018]
Audio Hashprints: Theory & Application
Timothy Tsai [2016]
Feature Design for Robust Speech Recognition: Nurture and Nature
Shuo-Yiin Chang [2016]
Large-Margin Structured Prediction Extensions of Neural Networks for Automatic Speech Recognition
Suman Ravuri [2015]
Discriminative Acoustic Features for Deployable Speech Recognition
Arlo Faria [2014]
Beyond Deep Learning: Scalable Methods and Models for Learning
Oriol Vinyals [2013]
Speaker Diarization: Current Limitations and New Directions
Mary Tai Knox [2013]
Techniques for Machine Understanding of Live Drum Performances
Eric Battenberg [2012]
Automatic Design of Prosodic Features for Sentence Segmentation
James G Fung [2011]
Finding Difficult Speakers in Automatic Speaker Recognition
Lara Lynn Stoll [2011]
The Elements of Automatic Summarization
Daniel Jacob Gillick [2011]
Structured Approaches to Data Selection for Speaker Recognition
Howard Hao Lei [2010]
Audio Segmentation for Meetings Speech Processing
Kofi Agyeman Boakye [2008]
Ensemble Feature Selection for Multi-Stream Automatic Speech Recognition
David Gelbart [2008]
Kernel Optimization for Support Vector Machines: Application to Speaker Verification
Andrew Oliver Hatch [2006]
Learning Discriminant Narrow-Band Temporal Patterns for Automatic Recognition of Conversational Telephone Speech
Barry Yue Chen [2005]
Speech Recognition on Vector Architectures
Adam L. Janin [2004]
A Syllable, Articulatory-Feature, and Stress-Accent Model of Speech Recognition
Shuangyu Chang [2002]
Statistical Language Understanding Using Frame Semantics
Daniel J. Gildea [2001]
Discriminant Training of Front-End and Acoustic Modeling Stages to Heterogeneous Acoustic Environments for Multi-Stream Automatic Speech Recognition
Michael Lee Shire [2000]
Global Posterior Probability Estimates as Decision Confidence Measures in an Automatic Speech Recognition System
Warner Warren III [2000]
Dynamic Pronounciation Models for Automatic Speech Recognition
John E. Fosler-Lussier [1999]
Natural Statistical Models for Automatic Speech Recognition
Jeff A. Bilmes [1999]
A Multiband Approach to Automatic Speech Recognition
Naghmeh N. Mirghafori [1998]
Incorporating Information from Syllable-Length Time Scales into Automatic Speech Recognition
Su-Lin Wu [1998]
Perceptually Inspired Signal Processing Strategies for Robust Speech Recognition in Reverberant Environments
Brian E. D. Kingsbury [1998]
REMAP: Recursive Estimation and Maximization of a posteriori Probabilities in Transition-Based Speech Recognition
Yochai Konig [1996]
Lexical Modeling in a Speaker Independent Speech Understanding System
Chuck Wooters [1993]