Mark Hasegawa-Johnson
Mark Hasegawa-Johnson
Professor of Electrical and Computer Engineering, University of Illinois
Verified email at - Homepage
Cited by
Cited by
Speech analysis synthesis and perception
JL Flanagan
Springer Science & Business Media, 2013
Semantic image inpainting with deep generative models
RA Yeh, C Chen, T Yian Lim, AG Schwing, M Hasegawa-Johnson, MN Do
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Brain anatomy differences in childhood stuttering
SE Chang, KI Erickson, NG Ambrose, MA Hasegawa-Johnson, ...
Neuroimage 39 (3), 1333-1344, 2008
Singing-voice separation from monaural recordings using robust principal component analysis
PS Huang, SD Chen, P Smaragdis, M Hasegawa-Johnson
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
Deep learning for monaural speech separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Joint optimization of masks and deep recurrent neural networks for monaural source separation
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (12 …, 2015
Semantic image inpainting with perceptual and contextual losses
R Yeh, C Chen, TY Lim, M Hasegawa-Johnson, MN Do
arXiv preprint arXiv:1607.07539 2 (3), 2016
Regression from patch-kernel
S Yan, X Zhou, M Liu, M Hasegawa-Johnson, TS Huang
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008
Real-world acoustic event detection
X Zhuang, X Zhou, MA Hasegawa-Johnson, TS Huang
Pattern Recognition Letters 31 (12), 1543-1551, 2010
AVICAR: Audio-visual speech corpus in a car environment
B Lee, M Hasegawa-Johnson, C Goudeseune, S Kamdar, S Borys, M Liu, ...
Eighth International Conference on Spoken Language Processing, 2004
Signal-based and expectation-based factors in the perception of prosodic prominence
J Cole, Y Mo, M Hasegawa-Johnson
Laboratory Phonology 1 (2), 425-452, 2010
Acoustic fall detection using Gaussian mixture models and GMM supervectors
X Zhuang, J Huang, G Potamianos, M Hasegawa-Johnson
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Dysarthric speech database for universal access research
H Kim, M Hasegawa-Johnson, A Perlman, J Gunderson, TS Huang, ...
Ninth Annual Conference of the International Speech Communication Association, 2008
Demonstration of ignition radiation temperatures in indirect-drive inertial confinement fusion hohlraums
SH Glenzer, BJ MacGowan, NB Meezan, PA Adams, JB Alfonso, ET Alger, ...
Physical review letters 106 (8), 085004, 2011
Sift-bag kernel for video event analysis
X Zhou, X Zhuang, S Yan, SF Chang, M Hasegawa-Johnson, TS Huang
Proceedings of the 16th ACM international conference on Multimedia, 229-238, 2008
Landmark-based speech recognition: Report of the 2004 Johns Hopkins summer workshop
M Hasegawa-Johnson, J Baker, S Borys, K Chen, E Coogan, ...
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
ISMIR, 477-482, 2014
Articulatory feature-based methods for acoustic and audio-visual speech recognition: Summary from the 2006 JHU summer workshop
K Livescu, O Cetin, M Hasegawa-Johnson, S King, C Bartels, N Borges, ...
2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007
Prosodic effects on acoustic cues to stop voicing and place of articulation: Evidence from Radio News speech
J Cole, H Kim, H Choi, M Hasegawa-Johnson
Journal of Phonetics 35 (2), 180-209, 2007
An automatic prosody labeling system using ANN-based syntactic-prosodic model and GMM-based acoustic-prosodic model
K Chen, M Hasegawa-Johnson, A Cohen
2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004
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