Frank Rudzicz
Frank Rudzicz
University of Toronto, Department of Computer Science; Vector Institute for Artificial Intelligence
Verified email at cs.toronto.edu - Homepage
TitleCited byYear
Linguistic features identify Alzheimer’s disease in narrative speech
KC Fraser, JA Meltzer, F Rudzicz
Journal of Alzheimer's Disease 49 (2), 407-422, 2016
1522016
The TORGO database of acoustic and articulatory speech from speakers with dysarthria
F Rudzicz, AK Namasivayam, T Wolff
Language Resources and Evaluation 46 (4), 523-541, 2012
962012
Using knowledge-poor coreference resolution for text summarization
S Bergler, R Witte, M Khalife, Z Li, F Rudzicz
Proceedings of DUC 3, 2003
572003
Adapting acoustic and lexical models to dysarthric speech
KT Mengistu, F Rudzicz
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
512011
Articulatory knowledge in the recognition of dysarthric speech
F Rudzicz
IEEE Transactions on Audio, Speech, and Language Processing 19 (4), 947-960, 2010
512010
Fast incremental LDA feature extraction
YA Ghassabeh, F Rudzicz, HA Moghaddam
Pattern Recognition 48 (6), 1999-2012, 2015
452015
Adjusting dysarthric speech signals to be more intelligible
F Rudzicz
Computer Speech & Language 27 (6), 1163-1177, 2013
422013
Sentence recognition from articulatory movements for silent speech interfaces
J Wang, A Samal, JR Green, F Rudzicz
2012 IEEE international conference on acoustics, speech and signal …, 2012
392012
Using text and acoustic features to diagnose progressive aphasia and its subtypes.
KC Fraser, F Rudzicz, E Rochon
INTERSPEECH, 2177-2181, 2013
372013
Treatment intensity and childhood apraxia of speech
AK Namasivayam, M Pukonen, D Goshulak, J Hard, F Rudzicz, T Rietveld, ...
International Journal of Language & Communication Disorders 50 (4), 529-546, 2015
362015
Summarizing multiple spoken documents: finding evidence from untranscribed audio
X Zhu, G Penn, F Rudzicz
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
362009
Comparing humans and automatic speech recognition systems in recognizing dysarthric speech
KT Mengistu, F Rudzicz
Canadian Conference on Artificial Intelligence, 291-300, 2011
342011
Comparing speaker-dependent and speaker-adaptive acoustic models for recognizing dysarthric speech
F Rudzicz
Proceedings of the 9th international ACM SIGACCESS conference on Computers …, 2007
342007
A framework for 3D visualisation and manipulation in an immersive space using an untethered bimanual gestural interface
Y Boussemart, F Rioux, F Rudzicz, M Wozniewski, JR Cooperstock
Proceedings of the ACM symposium on Virtual reality software and technology …, 2004
322004
Automatic speech recognition in the diagnosis of primary progressive aphasia
K Fraser, F Rudzicz, N Graham, E Rochon
Proceedings of the fourth workshop on speech and language processing for …, 2013
272013
Acoustic transformations to improve the intelligibility of dysarthric speech
F Rudzicz
Proceedings of the Second Workshop on Speech and Language Processing for …, 2011
272011
Using articulatory likelihoods in the recognition of dysarthric speech
F Rudzicz
Speech Communication 54 (3), 430-444, 2012
262012
Classifying phonological categories in imagined and articulated speech
S Zhao, F Rudzicz
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
242015
Whole-word recognition from articulatory movements for silent speech interfaces
J Wang, A Samal, JR Green, F Rudzicz
242012
Automatic detection of expressed emotion in Parkinson's disease
S Zhao, F Rudzicz, LG Carvalho, C Márquez-Chin, S Livingstone
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
232014
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