Frank Rudzicz
Frank Rudzicz
University of Toronto, Department of Computer Science; Vector Institute for Artificial Intelligence
Verified email at cs.toronto.edu - Homepage
Title
Cited by
Cited by
Year
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
3482016
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
1672012
Detecting anxiety through reddit
JH Shen, F Rudzicz
Proceedings of the Fourth Workshop on Computational Linguistics and Clinical …, 2017
672017
Adapting acoustic and lexical models to dysarthric speech
KT Mengistu, F Rudzicz
2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011
672011
Articulatory knowledge in the recognition of dysarthric speech
F Rudzicz
IEEE Transactions on Audio, Speech, and Language Processing 19 (4), 947-960, 2010
672010
Classifying phonological categories in imagined and articulated speech
S Zhao, F Rudzicz
2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015
652015
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
642015
Fast incremental LDA feature extraction
YA Ghassabeh, F Rudzicz, HA Moghaddam
Pattern Recognition 48 (6), 1999-2012, 2015
632015
Adjusting dysarthric speech signals to be more intelligible
F Rudzicz
Computer Speech & Language 27 (6), 1163-1177, 2013
632013
Using knowledge-poor coreference resolution for text summarization
S Bergler, R Witte, M Khalife, Z Li, F Rudzicz
Proceedings of DUC 3, 2003
622003
Using text and acoustic features to diagnose progressive aphasia and its subtypes.
KC Fraser, F Rudzicz, E Rochon
Interspeech, 2177-2181, 2013
592013
NeuroSpeech: An open-source software for Parkinson's speech analysis
JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ...
Digital Signal Processing 77, 207-221, 2018
552018
Using linguistic features longitudinally to predict clinical scores for Alzheimer’s disease and related dementias
M Yancheva, KC Fraser, F Rudzicz
Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing …, 2015
532015
Centroid-based deep metric learning for speaker recognition
J Wang, KC Wang, MT Law, F Rudzicz, M Brudno
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
522019
Artificial intelligence and the implementation challenge
J Shaw, F Rudzicz, T Jamieson, A Goldfarb
Journal of medical Internet research 21 (7), e13659, 2019
492019
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
492012
Vector-space topic models for detecting Alzheimer’s disease
M Yancheva, F Rudzicz
Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016
482016
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
482009
Speech interaction with personal assistive robots supporting aging at home for individuals with Alzheimer’s disease
F Rudzicz, R Wang, M Begum, A Mihailidis
ACM Transactions on Accessible Computing (TACCESS) 7 (2), 1-22, 2015
472015
Comparing humans and automatic speech recognition systems in recognizing dysarthric speech
KT Mengistu, F Rudzicz
Canadian Conference on Artificial Intelligence, 291-300, 2011
472011
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