Tiago H. Falk

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Raymundo CassaniThe Neuro (Montreal Neurological Institute-Hospital), McGill UniversityVerified email at mcgill.ca
Tom ChauBloorview Research Institute, Holland Bloorview & Institute of Biomedical Engineering, University ofVerified email at hollandbloorview.ca
João Felipe SantosNVIDIAVerified email at nvidia.com
Sebastian MöllerProfessor for Quality and Usability, TU Berlin and Department Head, DFKI and Adjunct ProfessorVerified email at tu-berlin.de
Rishabh GuptaSr. Machine Learning Scientist at Swift MedicalVerified email at swiftmedical.com
Francisco J. FragaFederal University of the ABC - UFABCVerified email at ufabc.edu.br
Milton Sarria-PajaUniversidad Santiago de CaliVerified email at usc.edu.co
Hubert BanvilleInria, Parietal, Université Paris-Saclay, InteraXonVerified email at inria.fr
Renato AnghinahFMUSPVerified email at usp.br
Jérémie Voix, P.Eng., Ph.D.École de technologie supérieure (ÉTS) -Université du QuébecVerified email at etsmtl.ca
Lucas R. TrambaiolliResearch Fellow, McLean Hospital, Harvard Medical SchoolVerified email at mclean.harvard.edu
Diana Patricia Tobón VallejoFull time professor at Universidad de Medellín, ColombiaVerified email at udem.edu.co
Jan-Niklas Voigt-AntonsSenior Research Scientist, Technische Universität Berlin, Quality and Usability LabVerified email at tu-berlin.de
Sebastian ArndtNorwegian University of Science and TechnologyVerified email at ntnu.no
Mohammed SenoussaouiMachine learning researcher at Fluent.ai, Montreal, CanadaVerified email at fluent.ai
Stefano CosentinoMRC - CBU CambridgeVerified email at ucl.ac.uk
Rachel E. BouserhalResearcher, Ecole de technologie superieureVerified email at etsmtl.ca
Paulo A M KandaNeurovale TaubatéVerified email at sinapsy.com.br
Oldooz HazratiFDAVerified email at fda.hhs.gov
Martin MaierFull Professor, INRSVerified email at ieee.org

Tiago H. Falk

Professor, INRS-EMT, University of Quebec

Verified email at emt.inrs.ca - Homepage

multimodal/sensory signal processing affective computing neuroergonomics context-aware machine learning applied AI


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Automatic speech emotion recognition using modulation spectral features S Wu, TH Falk, WY Chan Speech communication 53 (5), 768-785, 2011	359	2011
Deep learning-based electroencephalography analysis: a systematic review Y Roy, H Banville, I Albuquerque, A Gramfort, TH Falk, J Faubert Journal of neural engineering 16 (5), 051001, 2019	344	2019
A non-intrusive quality and intelligibility measure of reverberant and dereverberated speech TH Falk, C Zheng, WY Chan IEEE Transactions on Audio, Speech, and Language Processing 18 (7), 1766-1774, 2010	326	2010
A review of indoor localization technologies: towards navigational assistance for topographical disorientation J Torres-Solis, TH Falk, T Chau INTECH Open Access Publisher, 2010	162	2010
Classification of prefrontal activity due to mental arithmetic and music imagery using hidden Markov models and frequency domain near-infrared spectroscopy SD Power, TH Falk, T Chau Journal of neural engineering 7 (2), 026002, 2010	162	2010
Speech quality estimation: Models and trends S Möller, WY Chan, N Cote, TH Falk, A Raake, M Wältermann IEEE Signal Processing Magazine 28 (6), 18-28, 2011	150	2011
Finite-state Markov modeling of correlated Rician-fading channels C Pimentel, TH Falk, L Lisbôa IEEE transactions on vehicular technology 53 (5), 1491-1501, 2004	122	2004
Objective quality and intelligibility prediction for users of assistive listening devices: Advantages and limitations of existing tools TH Falk, V Parsa, JF Santos, K Arehart, O Hazrati, R Huber, JM Kates, ... IEEE signal processing magazine 32 (2), 114-124, 2015	118	2015
Robust GMM based gender classification using pitch and RASTA-PLP parameters of speech YM Zeng, ZY Wu, T Falk, WY Chan 2006 International conference on machine learning and cybernetics, 3376-3379, 2006	113	2006
Context awareness in WBANs: a survey on medical and non-medical applications DP Tobón, TH Falk, M Maier IEEE Wireless Communications 20 (4), 30-37, 2013	108	2013
Modulation spectral features for robust far-field speaker identification TH Falk, WY Chan IEEE Transactions on Audio, Speech, and Language Processing 18 (1), 90-100, 2009	104	2009
Single-ended speech quality measurement using machine learning methods TH Falk, WY Chan IEEE Transactions on Audio, Speech, and Language Processing 14 (6), 1935-1947, 2006	102	2006
Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment R Cassani, M Estarellas, R San-Martin, FJ Fraga, TH Falk Disease markers 2018, 2018	100	2018
Temporal dynamics for blind measurement of room acoustical parameters TH Falk, WY Chan IEEE Transactions on Instrumentation and Measurement 59 (4), 978-989, 2010	93	2010
Characterization of atypical vocal source excitation, temporal dynamics and prosody for objective measurement of dysarthric word intelligibility TH Falk, WY Chan, F Shein Speech Communication 54 (5), 622-631, 2012	88	2012
Taking NIRS-BCIs outside the lab: towards achieving robustness against environment noise TH Falk, M Guirgis, S Power, TT Chau IEEE Transactions on Neural Systems and Rehabilitation Engineering 19 (2 …, 2010	86	2010
Performance measurement for brain–computer or brain–machine interfaces: a tutorial DE Thompson, LR Quitadamo, L Mainardi, S Gao, PJ Kindermans, ... Journal of neural engineering 11 (3), 035001, 2014	83	2014
Performance comparison of algorithms for blind reverberation time estimation from speech ND Gaubitch, HW Loellmann, M Jeub, TH Falk, PA Naylor, P Vary, ... IWAENC 2012; International Workshop on Acoustic Signal Enhancement, 1-4, 2012	76	2012
On the development of a computer-based handwriting assessment tool to objectively quantify handwriting proficiency in children TH Falk, C Tam, H Schellnus, T Chau Computer methods and programs in biomedicine 104 (3), e102-e111, 2011	74	2011
Characterizing Alzheimer’s disease severity via resting-awake EEG amplitude modulation analysis FJ Fraga, TH Falk, PAM Kanda, R Anghinah PloS one 8 (8), e72240, 2013	71	2013

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