Director, Speech Technology and Research Laboratory (STAR)
Dimitra Vergyri, Ph.D., research interests include information extraction from speech, voice analysis for emotional and cognitive assessment, acoustic and language modeling for languages with sparse training data, multiligual audio search, and machine translation.
She served from 2009 to 2012 as an associate editor for the IEEE Transactions on Audio Speech and Language Processing and has been part of reviewing panels and conference organizing technical committees.
Vergyri has published more than 40 papers in refereed conferences and journals. She obtained her Ph.D. degree from Johns Hopkins University in 2000.
Recent publications
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Speech‐based markers for posttraumatic stress disorder in US veterans (4/17/2020) - Background: The diagnosis of posttraumatic stress disorder (PTSD) is usually based on clinical interviews or self‐report measures. Both approaches are…
Tackling Unseen Acoustic Conditions in Query-by-Example Search Using Time and Frequency Convolution for Multilingual Deep Bottleneck Features (12/1/2017) - Standard keyword spotting based on Automatic Speech Recognition (ASR) cannot be used on low- and no-resource languages due to lack…
Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks (3/1/2017) - Articulatory information can effectively model variability in speech and can improve speech recognition performance under varying acoustic conditions. Learning speaker-independent…
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