Mark Hasegawa-Johnson
Mark Hasegawa-Johnson
Professor of Electrical and Computer Engineering, University of Illinois
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
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
8662017
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
4102014
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
3992015
Brain anatomy differences in childhood stuttering
SE Chang, KI Erickson, NG Ambrose, MA Hasegawa-Johnson, ...
Neuroimage 39 (3), 1333-1344, 2008
3852008
Designing enterprise applications with the J2EE platform
I Singh, M Johnson, B Stearns
Addison-Wesley Professional, 2002
3812002
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
3732012
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
3282016
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
2122004
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
2102008
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
2042008
Real-world acoustic event detection
X Zhuang, X Zhou, MA Hasegawa-Johnson, TS Huang
Pattern Recognition Letters 31 (12), 1543-1551, 2010
2032010
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
1962010
Dilated recurrent neural networks
S Chang, Y Zhang, W Han, M Yu, X Guo, W Tan, X Cui, M Witbrock, ...
arXiv preprint arXiv:1710.02224, 2017
1842017
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
1662009
Singing-Voice Separation from Monaural Recordings using Deep Recurrent Neural Networks.
PS Huang, M Kim, M Hasegawa-Johnson, P Smaragdis
ISMIR, 477-482, 2014
1452014
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
1412008
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
1372007
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
1362007
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
1342005
Autovc: Zero-shot voice style transfer with only autoencoder loss
K Qian, Y Zhang, S Chang, X Yang, M Hasegawa-Johnson
International Conference on Machine Learning, 5210-5219, 2019
1222019
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Articles 1–20