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[B2] R. Anghinah, W. Paiva, T. Falk and F. Fregni (Eds.), Neurotrama: from emergency room to back to day-by-day life, e-book, Frontiers Media, Lausanne, 2019, 95 pages. doi: 10.3389/978-2-88945-724-3.
[B1] Signal Processing and Machine Learning for Biomedical Big Data, Editors: Ervin Sejdic, Tiago H. Falk, CRC Press, July 2018.
Articles published or accepted in refereed journals
[J117] B. Fischer, M. Chemnitz, Y. Zhu, N. Perron, P. Roztocki, B. MacLellan, L. DiLauro, A. Rahim, C. Rimoldi, T. Falk, R. Morandotti, Neuromorphic Computing via Fission-Based Broadband Frequency Generation, Advanced Science, in press.
[J116] B. de Jesus Jr, L. Perrault, M. Soares, M-C Roberge, A. Alves Jr. and T. Falk, Using multisensory virtual reality nature immersion as a therapeutic modality for improving HRV and cognitive functions in post-traumatic stress disorder: A pilot-study, Frontiers in Virtual Reality, Vol. 4, Sept. 2023.
[J115] M.-A. Moinnereau, A. Alves Jr. and T. Falk, Quantifying Time Perception during Virtual Reality Gameplay Using a Multimodal Biosensor-Instrumented Headset: A Feasibility Study, Frontiers in Neuroergonomics, Vol. 4, July 2023.
[J114] Abhishek Tiwari, Gordon Gray, Parker Bondi, Amin Mahnam and Tiago H. Falk, Automated Multi-Wavelength Quality Assessment of Photoplethysmography Signals Using Modulation Spectrum Shape Features, Sensors, Vol. 23, No. 12, June 2023.
[J112] Y. Zhu, A. Tiwari, J. Monteiro, S. Kshirsagar, T. Falk, COVID-19 Detection via Fusion of Modulation Spectrum and Linear Prediction Speech Features, IEEE TASLP, Vol. 31, pp. 1536 – 1549, April 2023.
[J111] S. Kshirsagar, A. Pendyala and T. Falk, Task-Specific Speech Enhancement and Data Augmentation for Improved Multimodal Emotion Recognition Under Noisy Conditions, Frontiers in Computer Science, Human-Media Interaction, Vol. 5, March, 2023.
[J110] M. Karla, R. Cassani, and T. Falk, Using CNN Saliency Maps and EEG Modulation Spectra for Improved and More Interpretable Machine Learning-Based Alzheimer’s Disease Diagnosis, Computational Intelligence and Neuroscience, Volume 2023, Article ID 3198066, Feb. 2023.
[J108] I. Albuquerque, J. Monteiro, O. Rosanne, T. Falk, Estimating Distribution Shifts for Predicting Cross-Subject Generalization in Electroencephalography-based Mental Workload Assessment, Frontiers in Artificial Intelligence, Machine Learning and Artificial Intelligence, Vol. 5, Oct. 2022.
[J107] M-A. Moinnereau, A. de Oliveira Jr. and T. Falk, Instrumenting a Virtual Reality Headset for At-Home Gamer Experience Monitoring and Behavioural Assessment, Frontiers in Virtual Reality, Vol. 3, Oct. 2022.
[J105] L. Trambaiolli, R. Cassani, C. Biazoli, A. Cravo, J. Sato, T. Falk, Multimodal resting-state connectivity predicts affective neurofeedback performance, Frontiers in Human Neuroscience, Vol. 16, 2022.
[J104] A. Tiwari, R. Cassani, S. Kshirsagar, D. Tobon, Y. Zhu, T. Falk, Modulation Spectral Signal Representation for Quality Measurement and Enhancement of Wearable Device Data: A Technical Note, Sensors, 22 (12), paper 4579, 2022.
[J103] M-A. Moinnereau, A. de Oliveira Jr., T. Falk, Immersive media experience: a survey of existing methods and tools for human influential factors assessment, Quality and User Experience, Vol. 7, No. 1, pp 1-23, Dec. 2022.
[J100] M. Abdollahi, P. Giovenazzo and T. Falk, Automated Beehive Acoustics Monitoring: A Comprehensive Review of the Literature and Recommendations for Future Work, Applied Sciences, Vol. 12, No. 8, 22 pages.
[J99] J. Monteiro, J. Alam, T. Falk, Multi-level Self-attentive TDNN: A General and Efficient Approach to Summarize Speech Into Discriminative Utterance-level Representations, Speech Communications, Vol. 140, May 2022, pp. 42-49.
[J98] X. Liu, J. Monteiro, I. Albuquerque, Y. Lai, C. Jiang, S. Zhang, T. Falk, J Liang, Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder, Photonics Research, Vol. 9, No. 12, pp. 2464-2474, 2021.
[J97] A. Tiwari, T. Falk, New Measures of Heart Rate Variability based on Subband Tachogram Complexity and Spectral Characteristics for Improved Stress and Anxiety Monitoring in Highly Ecological Settings, Frontiers in Signal Processing – Biomedical Signal Processing, Sept. 2021.
[J95] G. Muhammad, F. Alshehri, F. Karray, A. El Saddik, and T. Falk, A comprehensive survey on multimodal medical signals fusion for smart healthcare systems, Information Fusion, Vol. 76, Dec. 2021, pp. 355-375.
[J94] A. Avila, D. O’Shaughnessy, T. Falk, Automatic Speaker Verification from Affective Speech Using Gaussian Mixture Model Based Estimation of Neutral Speech Characteristics, Speech Communications, Volume 132, September 2021, Pages 21-31.
[J93] L. Trambaiolli, R. Cassani, D. Mehler, T. Falk, Neurofeedback and the aging brain: a systematic review of protocols for the treatment of dementia and cognitive impairment, Frontiers in Aging Neuroscience, in press, 2021.
[J90] A. Avila, J. Alam, F. Prado, D. O’Shaughnessy, T. Falk, On the Use of Blind Channel Response Estimation and a Residual Neural Network to Detect Physical Access Attacks to Speaker Verification Systems, Computer Speech & Language, Volume 66, March 2021.
[J89] D. Tobon, H. Garudadri, J. Godino, S. Godbole, K. Patrick, T. Falk, Modulation Spectral Analysis for Improved Gait Speed Calculation from Noisy Accelerometer Data, IEEE Sensors, Vol. 21, No. 1, pp. 520-528, Jan. 2021.
[J88] M. Parent, I. Albuquerque, A. Tiwari, R. Cassani, J. Gagnon, D. Lafond, S. Tremblay, and T. Falk, “PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/Brain-Computer Interface Research”, Frontiers in Neuroscience, 14:542934, Dec. 2020.
[J87] I. Albuquerque, A. Tiwari, M. Parent, J. Gagnon, D. Lafond, S. Tremblay, and T. Falk, “WAUC: A Multi-Modal Database for Mental Workload Assessment under Physical Activity”, Frontiers in Neuroscience, 14:549524, Dec. 2020.
[J86] M. Parent, A. Roy, C. Gagnon, N. Lemaire, N. Deslauriers-Varin, T. Falk, S. Tremblay, Designing an Explainable Predictive Policing Model to Forecast Police Workforce Distribution in Cities, Canadian Journal of Criminology and Criminal Justice, Volume 62, Issue 4, October 2020, pp. 52-76.
[J85] R. Cassani, G. Novak, T. Falk and A. de Oliveira, Virtual reality and non-invasive brain stimulation for rehabilitation applications: a systematic review, Journal of NeuroEngineering and Rehabilitation, Vol. 17, No. 147, Oct. 2020.
[J84] K Mundnich, B. Booth, M. L’Hommedieu, J. L’Hommedieu, M. Wildman, T. Feng, B. Girault, S. Skaaden, A. Nadarajan, J. Villatte, T. Falk, K. Lerman, E. Ferrara, S. Narayanan, TILES: A longitudinal physiologic and behavioral data set of hospital workers, Nature Scientific Data, Vol. 7, Article number: 354 (2020).
[J83] A. Avila, D. O’Shaughnessy, T. Falk, Non-intrusive Speech Quality Prediction Based on the Blind Estimation of Clean Speech and the i-vector Framework, Quality and User Experience, Vol. 5, No. 11, Nov. 2020.
[J82] A. Avila, J. Alam, D. O’shaughnessy, T. Falk, On the Use of the I-vector Speech Representation for Instrumental Quality Measurement, Quality and User Experience, Vol. 5, No. 6, June 2020.
[J81] J. Monteiro, J. Alam and T. Falk, Generalized End-to-End Detection of Spoofing Attacks to Automatic Speaker Recognizers, Computer Speech & Language, Vol. 63, September 2020.
[J80] E. Santos, R. Cassani, T. Falk, and F. Fraga, Improved Motor Imagery Brain-Computer Interface Performance via Adaptive Modulation Filtering and Two-Stage Classification, Biomedical Signal Processing and Control, Volume 57, March 2020.
[J79] R. Cassani and T. Falk, Alzheimer’s Disease Diagnosis and Severity Level Detection Based on Electroencephalography Modulation Spectral “Patch” Features, IEEE Journal of Biomedical and Health Informatics (J-BHI), Vol. 24, No. 7, July 2020.
[J78] R. Cassani, M-A. Moinnereau, L. Ivanescu, O. Rosanne, T. Falk, Neural Interface Instrumented Virtual Reality Headset: Toward Next-Generation Immersive Applications, IEEE SMC Magazine, July 2020, pp. 20-28.
[J77] M. Hasan, J. L’Hommedieu, C. Begay, A. Schenone, L. Dimitropoulou, G. Margolin, T. Falk, E. Ferrara, K. Lerman, and S. Narayanan, Lessons Learned: Recommendations for Implementing A Longitudinal Study Using Wearable and Environmental Sensors in a Healthcare Organization, JMIR Mhealth Uhealth, Vol. 7, No. 12, Dec. 2019 (e13305).
[J76] B. Sadou, A. Lahoulou, T. Bouden, A. Avila, T. Falk, Z. Akhtar, Free-Reference Image Quality Assessment Framework using Metrics Fusion and Dimensionality Reduction, Signal & Image Processing, Vol. 10, No. 5, 14 pages, Oct. 2019.
[J75] Z. Akhtar, K. Siddique, A. Rattani, S. Lutfi, D. Dasgupta, Y. Kim, T. Falk, Why is Multimedia Quality of Experience Assessment a Challenging Problem?, IEEE Access, Vol. 7, 2019.
[J74] M. Sample, M. Aunos, S Blain-Moraes, C. Bublitz, J. Chandler, T Falk, O. Friederich, D. Groetzinger, R. Jox, J. Koegel, D. McFarland, V. Neufield, D. Rodriguez-Arias, S Sattler, F. Vidal, G Wolbring, A Wolkenstein, E Racine, Brain-Computer Interfaces and Personhood: Interdisciplinary Deliberations on Neural Technology, accepted, Journal of Neural Engineering, Vol. 16, No. 6, paper 063001, Nov. 2019.
[J73] A. Tiwari, J-F Gagnon, D. Lafond, S. Tremblay, T. Falk, Multi-scale Heart Beat Entropy Measures for Mental Workload Assessment of Ambulant Users, Entropy, Vol. 21, No. 8, paper 783, 2019.
[J72] B. Booth, K. Mundnich, T. Feng, A. Nadarajan, T. Falk, E. Ferrara, S. Narayanan, Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management, J Med Internet Res 2019, Vol. 21, No. 8, paper e12832, August 2019.
[J71] Y. Roy, H. Banville, I. Albuquerque, A. Gramfort, T. Falk, J. Faubert, Deep learning-based electroencephalography analysis: a systematic review, Journal of Neural Engineering, Vol. 16, No. 5, paper 051001 (37pp), 2019.
[J70] B. Cauchi, K. Siedenburg, J. Santos, T. Falk, S. Doclo, S. Goetze, Non-intrusive speech quality prediction using modulation energies and LSTM-network, accepted to IEEE Transactions on Audio, Speech Language Processing, Vol. 27, No. 7, pp. 1151 – 1163, July 2019.
[J69] J. Monteiro, J. Alam, T. Falk, Residual Convolutional Neural Network with Attentive Feature Pooling for End-To-End Language Identification from Short-Duration Speech, Computer Speech & Language, Volume 58, November 2019, Pages 364-376.
[J68] A. Tiwari, T. Falk, Lossless electrocardiogram signal compression: A review of existing methods, Computer Methods and Programs in Biomedicine, Volume 51, May 2019, Pages 338-346.
[J67] A. Tiwari, T. Falk, Fusion of Motif and Spectrum Related Features for Improved EEG-Based Emotion Recognition, Computational Intelligence and Neuroscience, Volume 2019, Article ID 3076324, 14 pages.
[J66] L. Trambaiolli, C. Biazoli, A. Cravo, T. Falk, J. Sato, fNIRS-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles, Neurophotonics, Vol. 5, No. 3, paper 035009, 2018.
[J65] R. Cassani, M. Estarellas, R. San-Martin, F.. Fraga and T.. Falk, Systematic review on resting-state EEG for Alzheimer’s disease diagnosis and progression assessment, Disease Markers, vol. 2018, Article ID 5174815, 26 pages, 2018.
[J64] M. Sarria-Paja and T. Falk, Fusion of Bottleneck, Spectral and Modulation Spectral Features for Improved Speaker Verification of Neutral and Whispered Speech, Speech Communications, Vol. 102, pp. 78-86, Sept. 2018.
[J63] A. Avila, Z. Akhtar, J. Santos, D. O’Shaughnessy and T. Falk, Feature Pooling for Spontaneous Speech Based Emotion Recognition In-the-Wild, IEEE Trans. Affective Computing, Vol. 12, No.1, 2021, pp. 177-188.
[J62] F. Fraga, G. Mamani, E. Johns, G. Tavares, T. Falk, N. Phillips, Early Diagnosis of Mild Cognitive Impairment and Alzheimer’s with Event-Related Potentials and Event-Related Desynchronization in N-Back Working Memory Tasks, Computer Methods and Programs in Biomedicine, Vol. 164, pp. 1-13, Oct. 2018.
[J59] A. Clerico, A. Tiwari, R. Gupta, S. Jayaraman, T. Falk, Electroencephalography Amplitude Modulation Analysis for Automated Affective Tagging of Music Video Clips, Frontiers in Computational Neuroscience, Vol. 11, Article 115, Jan. 2018, 13 pages.
[J58] D. Tobon, S. Jayaraman, T. Falk, Spectro-Temporal Electrocardiogram Analysis for Noise-Robust Heart Rate Variability Measurement, Journal of Biomedical and Health Informatics, Vol. 5, 2017, 11 pages.
[J57] H. Banville, R. Gupta and T. Falk, Mental Task Evaluation for Hybrid NIRS-EEG Brain-Computer Interfaces, Computational Intelligence and Neuroscience (Special Issue on Fusion Methods for Biosignal Analysis: Theory and Applications), Volume 2017, Article ID 3524208, 24 pages.
[J55] R. Bouserhal, T. Falk, J. Voix, Modeling Speech Level as a Function of Background Noise Level and Talker-to-Listener Distance for Talkers Wearing Hearing Protection Devices, Journal of Speech, Language, and Hearing Research, Newly Published. doi:10.1044/2017_JSLHR-S-17-0052, Dec. 2017.
[J54] M. Paja and T. Falk, Fusion of Auditory Inspired Amplitude Modulation Spectrum and Cepstral Features for Whispered and Normal Speech Speaker Verification, Computer Speech & Language, Vol. 45, pp. 437–456, Sept. 2017.
[J51] R. Bouserhal, T. Falk, J. Voix, In-ear microphone speech quality enhancement via adaptive filtering and artificial bandwidth extension, Journal of the Acoustical Society of America, Vol. 141, No. 3, pp. 1321-1331, 2017.
[J50] R. Cassani, T. Falk, F. Fraga, M. Cecchi, D. Moore, R. Anghinah, Towards Automated Electroencephalography-based Alzheimer’s Disease Diagnosis Using Portable Low-density Devices, Biomedical Signal Processing and Control, Vol. 33, pp. 261–271, March 2017.
[J49] R. Gupta, H. Banville, T. Falk, Multimodal Physiological Quality-of-Experience Assessment of Text-to-Speech Systems, IEEE Journal of Selected Topics in Signal Processing, Special Issue on Measuring Quality of Experience for Advanced Media Technologies and Service, Feb. 2017.
[J48] R. Gupta, K. Laghari, H. Banville, T. Falk, Using Affective Brain-Computer Interfaces to Characterize Human Influential Factors for Speech Quality-of-Experience Perception Modelling, Human-centric Computing and Information Sciences, Vol. 6, No. 1, pp. 1-19, 2016.
[J46] R. Bouserhal, E. MacDonald, T. Falk, J. Voix, Variations in voice level and fundamental frequency with changing background noise level and talker-to-listener distance while wearing hearing protectors: A pilot study, International Journal of Audiology, Vol. 55, Supp. 1, pp. S13-S20, 2016.
[J45] R. Gupta, K. Laghari, T. Falk, Relevance Vector Classifier Decision Fusion and EEG Graph-Theoretic Features for Automatic Affective State Characterization, Neurocomputing, Vol. 174, Part B, pp. 875–884, Jan. 2016.
[J43] T. Falk, V. Parsa, J. Santos, K. Arehart, O. Hazrati, R. Huber, J. Kates, and S. Scollie, Objective Quality and Intelligibility Prediction for Users of Assistive Listening Devices, IEEE Signal Processing Magazine, Special Issue on Signal Processing Techniques for Assisted Listening, Vol. 32, No. 2, pp. 114-124, March 2015.
[J41] J. Santos and T. Falk, Updating the SRMR-CI Metric for Improved Intelligibility Prediction for Cochlear Implant Users, IEEE/ACM Trans. Audio, Speech, and Language Processing, Vol. 22, No. 12, pp. 2197-2206, Dec. 2014.
[J40] D. Thompson, L. Quitadamo, L. Mainardi, K. Laghari, S. Gao, P.-J. Kindermans, J. Simeral, R. Fazel-Rezai, M. Matteucci, T. Falk, L. Bianchi, C. Chestek, J. Huggins, Performance Measurement for Brain-Computer or Brain-Machine Interfaces: A Tutorial, Journal of Neural Engineering, Vol. 11, No. 3, June 2014.
[J39] R. Cassani, T. Falk, F. Fraga, P. Kanda, and R. Anghinah, The effects of automated artifact removal algorithms on electroencephalography-based Alzheimer’s disease diagnosis, Frontiers in Aging Neuroscience, Vol. 6, No. 55, March 2014.
[J38] S. Cosentino, T. Marquardt, D. McAlpine, J. Culling, and T. Falk, A model that predicts the binaural advantage to speech intelligibility from the mixed target and interferer signals, Journal of the Acoustical Society of America, Vol. 135, No. 2, pp. 796-807, February 2014.
[J37] S. Cosentino, T. Falk, D. McAlpine, and T. Marquardt, Cochlear Implant Filterbank Design and Optimization: A Simulation Study, IEEE/ACM Trans. Audio Speech Lang. Process., Vol. 22, No. 2, pp. 347-353, 2014.
[J35] F. Fraga, T. Falk, P. Kanda, R. Anghinah, Characterizing Alzheimer’s Disease Severity via Resting-Awake EEG Amplitude Modulation Analysis, PLoS ONE, 8(8): e72240. doi:10.1371/journal.pone.0072240, August 2013.
[J34] K. Laghari, M. Hyder, M. Haun, C. Hoene, N. Crespi, T. Falk, An Investigation into the Relationship Between Perceived Quality-of-Experience and Virtual Acoustic Environments: the Case of 3D Audio Telephony, Journal of Universal Computer Science, Vol. 19, No. 12, pp. 1718-1735, 2013.
[J33] D. Vallejo, T. Falk and M. Maier, Context Awareness in WBANs: A Survey on Medical and Non-Medical Applications” IEEE Wireless Communications Magazine (Special Issue on Wireless Networking for e-Health Applications), Vol. 20, No. 4, pp. 30-37, August 2013.
[J31] J. Santos, S. Cosentino, O. Hazrati, P. Loizou, T. Falk, Objective Speech Intelligibility Measurement for Cochlear Implant Users in Complex Listening Environments, Speech Communications, Vol. 55, No. 7–8, pp. 815–824, Sept. 2013.
[J29] T. Falk, F. Fraga, L. Trambaiolli, and R. Anghinah, EEG Amplitude Modulation Analysis for Semi-Automated Diagnosis of Alzheimer’s Disease, EURASIP J. Advances in Signal Process. (Special Issue on Advances in Nonstationary Electrophysiological Signal Analysis and Processing), Volume 2012, Issue 1, ID:192, 9 pages.
[J28] T. Falk, A. Andrews, F. Hotzé, E. Wan, and T. Chau, Evaluation of an Ambient Noise Insensitive Hum-Based Powered Wheelchair Controller, Disability and Rehabil.: Assistive Technol., Vol. 7, No. 3, pp. 242-248, May 2012.
[J27] T. Falk, W.-Y. Chan, F. Shein, Characterization of Vocal Source Excitation, Temporal Dynamics and Prosody for Dysarthric Speech Intelligibility Estimation, Speech Commun, Vol. 54, No. 3, pp. 622-631, June 2012. Winner of the 2017 EURASIP Best Paper Award
[J26] M. Lui, T. Falk, T. Chau, Development and Assessment of a Dual-Output Vocal Cord Vibration Switch for Persons with Multiple Disabilities, Disability Rehabil: Assistive Technol, Vol. 7, No. 1, 2012, pp. 82-88.
[J25] T. Falk, C. Tam, H. Schwellnus, and T. Chau, On the Development of a Computer-based Handwriting Assessment Tool to Objectively Quantify Handwriting Proficiency in Children, Comput Methods Programs Biomed, Vol. 104, No. 3, Dec. 2011, pp. e102-e111.
[J19] T. Falk, C. Zheng, W.-Y. Chan, A Non-Intrusive Quality and Intelligibility Measure of Reverberant and Dereverberated Speech, IEEE Trans Audio Speech Lang Process, Vol. 18, No. 7, pp. 1766-1774, Sept. 2010.
[J15] T. Falk, J. Chan, P. Duez, and T. Chau, Augmentative Communication Based on Realtime Vocal Cord Vibration Detection, IEEE Trans. Neural Syst. Rehabil. Eng., Vol. 18, No. 2, pp. 159-163, April 2010. Winner of the IBBME Best Paper Award; Category: Engineering in a Clinical Setting
[J12] S. Power, T. Falk, and T. Chau, Classification of Prefrontal Activity due to Mental Arithmetic and Music Imagery Using Hidden Markov Models and Frequency Domain Near-Infrared Spectroscopy, J. Neural Eng., Vol. 7, No. 2, Article ID 026002, 9 pages, 2010.
[J10] J. Chan, T. Falk, G. Teachman, J. McKee, and T. Chau, Evaluation of a Vocal Cord Vibration Switch as an Alternative Access Pathway for an Individual with Hypotonic Cerebral Palsy – a Case Study, Disability and Rehabil.: Assistive Technol., Vol. 5, No. 1, pp. 69-78, Jan. 2010.
[J2] H. M. de Oliveira, L. Soares, and T. Falk, A Family of Wavelets and a New Orthogonal Multiresolution Analysis Based on the Nyquist Criterion, J. Braz. Telecommun. Soc., Vol. 18, No. 1, pp. 1-8, July 2003.
Conference proceedings and abstracts
[C219] Y. Zhu, M. Imoussaïne-Aïkous, C. Côté-Lussier, and T. Falk, Investigating Biases in COVID-19 Diagnostic Systems Processed with Automated Speech Anonymization Algorithms, 3rd Symposium on Security and Privacy in Speech Communication, Interspeech 2023.
[C218] M. Abdollahi, N. Coallier, P. Giovenazzo, and T. Falk, Performance Comparison of Voice Activity Detectors for Acoustic Beehive Monitoring, IEEE CCECE 2023, to appear.
[C217] Y. Zhu, M. Abdollahi, S. Maucourt, E. Henry, N. Coallier, P. Giovenazzo, and T. Falk, Early Prediction of Beehive Survivability in Winter Using Multi-modal Sensor Data, ApiMondia 2023, to appear.
[C216] M. Abdollahi, S. Maucourt, E. Henry, N. Coallier, P. Giovenazzo, and T. Falk, Automated Detection of Human Speech within In-Hive Acoustic Monitoring Systems: Towards Improved Beehive Health Analysis, ApiMondia 2023, to appear.
[C215] A. Tiwari, G. Wu, K. Innanen, A. Mahnam, B. Moineau, and T. Falk, On the Use of FOOOF for Electroencephalography Quality Measurement and Device Assessment, IEEE SMC 2023, to appear.
[C214] H. Guimarães, Y. Zhu, O. Mengara, A. Avila, and T. Falk, Assessing the Vulnerability of Self-Supervised Speech Representations for Keyword Spotting under White-Box Adversarial Attacks, IEEE SMC 2023, to appear.
[C213] H. Guimarães, A. Pimentel, A. Avila, M. Rezagholizadeh, B. Chen, and T. Falk, RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness, ICASSP 2023.
[C212] Y. Zhu, M. Shaik and T. Falk, On the importance of different cough phases for COVID-19 detection, ICASSP 2023.
[C211] A. Tiwari, B. Poursartop, A. Mahnam and T. Falk, Improved Affect Prediction Using Complexity Based Ultra-Short-Term Heart Rate Variability Features, 2023 AHFE.
[C210] R. Amini and T. Falk, Multisensory Immersive Experiences: A Pilot Study on Subjective and Instrumental Human Influential Factors Assessment, QoMEX 2022.
[C209] M.-A. Moinnereau, A. Alves Jr, T. Falk, Human Influential Factor Assessment “In the Wild”: Measuring Gamer Experience at Home Using an Instrumented VR Headset, QoMEX 2022.
[C208] Belmir Jose De Jesus Jr, Marilia K. S. Lopes, Marc-Antoine Moinnereau, Reza A. Gougeh, Olivier M. Rosanne, Alcyr A. Oliveira, Walter Schubert and Tiago H. Falk, Quantifying Multisensory Immersive Experiences using Wearables: Is (Stimulating) More (Senses) Always Merrier?, SensoryX Workshop, ACM Intl Conf Interactive Media Experience, 2022.
[C207] Y. Dandiwal, B. Junior, T. Falk, Multisensory immersive nature-based mindfulness interventions: a brief survey, IEEE 2nd International Conference on Intelligent Reality, 2022.
[C206] H. Guimarães, A. Pimentel, A. Avila, M. Rezagholizadeh, T. Falk, Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement, NeurIPS ENLSP Workshop, 2022.
[C205] A. Pimentel, H. Guimarães, A. Avila, M. Rezagholizadeh, T. Falk, How Robust is Robust wav2vec 2.0 for Edge Applications?: An Exploration into the Effects of Quantization and Model Pruning on “In-the-Wild” Speech Recognition, Edge Intelligence Workshop, 2022.
[C204] H. Guimarães, A. Pimentel, A. Avila, M. Rezagholizadeh, T. Falk, An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for ”In the Wild” Edge Applications, Edge Intelligence Workshop, 2022.
[C203] Y. Zhu, A. Mariakakis, E. de Lara and T. Falk, How Generalizable and Interpretable are Speech-Based COVID-19 Detection Systems?: A Comparative Analysis and New System Proposal, IEEE International Conference on Biomedical and Health Informatics (BHI’22), 2022.
[C202] R. Gougeh, B. de Jesus Jr., M. Lopes, M. Moinnereau, W. Schubert, and T. Falk, Quantifying User Behaviour in Multisensory Immersive Experiences, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
[C201] M. Lopes*, B. de Jesus Jr.*, M. Moinnereau, R. Gougeh, O. Rosanne, W. Schubert, A. de Oliveira Jr, and T. Falk, Nat(UR)e: Quantifying the Relaxation Potential of an Ultra-Reality Multisensory Nature Walk Experience, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
[C200] T. Falk, L. Le, R. Morandotti, The Internet of Senses: A Position Paper on the Challenges, Opportunities and Potential of Multisensory Immersive Experiences for the Metaverse, 2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE).
[C199] T. Falk, R. Amini, L. Ivanescu, B. de Jesus Jr, M. Soares, N.Mohamed, M.-A. Moinnereau, W. Schubert, A. Oliveira Jr., Neuroergonomics Meets the Metaverse: Biosensor-Instrumented VR Headsets for Real-time Multisensory Immersive Experience Assessment “In the Wild”, Neuroergonomics Conference 2022.
[C198] A. Gershon, N. Patel, T. Falk, S. Liaqat, D. Liaqat, E. de Lara, A. Mariakakis, A. Simor, P. Lam, S. Masood, N.Andany, N. Daneman, A. Chan, T. To, R. Wu, Symptom Burden in Patients of Different Ages with Acute COVID-19 Infection Quarantining at Home, abstract, ATS 2022.
[C197] A. Gershon, N. Patel, T. Falk, S. Liaqat, D. Liaqat, E. de Lara, A. Mariakakis, A. Simor, P. Lam, S. Masood, N.Andany, N. Daneman, A. Chan, T. To, R. Wu, Trends in Oxygen Level during Acute COVID-19 Infection in Patients Quarantining at Home , abstract, ATS 2022.
[C196] D. Liaqat, N. Patel, N. Andany, T. To, A. Mariakakis, T. Falk, A. Gershon, R. Wu, E. de Lara, Predicting Low Oxygen Saturation of COVID-19 Patients Using a Random Forest Classifier, abstract, ATS 2022.
[C195] T. Sedaghat, S. Liaqat, D. Liaqat, R. Wu, A. Gershon, T. Son, T. Falk, M. Gabel, A. Mariakakis, E. de Lara, Unobtrusive Monitoring of COPD Patients using Speech Collected from Smartwatches in the Wild, WristSense 2022, IEEE Intl Conf Pervasive Computing and Communications.
[C194] Y. Zhu and T. Falk, Fusion of Modulation Spectral and Spectral Features with Symptom Metadata for Improved Speech-Based Covid-19 Detection, ICASSP 2022.
[C193] H. Alemu, Y. Dandiwal, B. Jesus Jr., T. Falk, Affective computing for stress, anxiety and cybersickness detection in virtual reality: A survey of the literature, AHFE, July 2022.
[C192] M-A Moinnereau, A. Alves Jr, T. Falk, Measuring Human Influential Factors During VR Gaming at Home: Towards Optimized Per-User Gaming Experiences, AHFE, July 2022.
[C191] X. Liu, J. Monteiro, I. Albuquerque, Y. Lai, C. Jiang, S. Zhang, T. Falk, J Liang, Snapshot-to-video autoencoder for compressed ultrahigh-speed imaging, SPIE Photonics West, paper 12019-14, San Francisco, Jan. 22-27, 2022.
[C190] R. Tasé, D. Rodriguez, O. Samuel, T. Falk, and A. López-Delis, Hybrid Brain-Computer Interface Based on EEG and EMG Fusion For Motor Intent Detection, IBERDISCAP2021 (XI Congreso Iberoamericano de Tecnologías de Apoyo a la Discapacidad), Nov. 2021.
[C189] I. Albuquerque and T. Falk, Randomly projecting out distribution shifts for improved robustness, NeurIPS 2021, Workshop on Distributional Shifts, Dec. 2021.
[C188] J. Monteiro, J. Alam, T. Falk, A versatile and efficient approach to summarize speech into utterance-level representations, NeurIPS 2021, Workshop on Efficient Natural Language and Speech Processing, oral-spotlight, Dec. 2021.
[C187] A. Lahoulou, B. Sadou, F. Boudjerida, T. Falk , Z. Akhtar, Parametric Audiovisual Quality Measurement Based on Interpretable Fuzzy Logic, QoMEX 2021, 2021.
[C186] Abhishek Tiwari, Salaar Liaqat, Daniyal Liaqat, Moshe Gabel, Eyal de Lara, Tiago Falk, Remote COPD Severity and Exacerbation Detection Using Heart Rate and Activity Data Measured from a Wearable Device, EMBC 2021.
[C185] A.Lahoulou, B.Sadou, F.Boudjerida, T. Falk, No-Reference Quality Assessment for Images with Single and Multiple Distortions using Multi-Domain and Multi-Color Channel Information, ICRAMI 2021.
[C184] M. Soares, R. Cassani and T. Falk, On the use of saliency maps and convolutional neural networks for improved Alzheimer’s disease assessment, AAIC, abstract, 2021.
[C183] R. Cassani, A. Horai, L. Gheorge, T. Falk, Predicting Driver Stress Levels with a Sensor-Equipped Steering Wheel and a Quality-Aware Heart Rate Measurement Algorithm, EMBC 2021.
[C182] A. Pimentel, A. Tiwari, S. Narayanan, T. Falk, Human Mental State Monitoring in the Wild: Are We Better Off with DeeperNeural Networks or Improved Input Features?, CMBES 2021.
[C181] Yi Zhu, Arash Mahnan, Jürgen Konczak, T. Falk, A novel linear algorithm to classify neck movement using surface electromyography, AHFE, 2021.
[C180] A. Gaballah, A. Tiwari, S. Narayanan, T. Falk, Context-Aware Speech Stress Detection in Hospital Workers Using Bi-LSTM Classifiers, IEEE ICASSP, 2021.
[C179] I. Albuquerque, J. Monteiro, M. Darvishi, T. Falk and I. Mitliagkas, Generalizing to unseen domains via distribution matching, ICML 2020 workshop on Uncertainty and Robustness in Deep Learning, 2020.
[C178] M. Moinnereau, A. Oliveira Jr., T. Falk, Saccadic Eye Movement Classification Using ExG Sensors Embedded into a Virtual Reality Headset, IEEE SMC, 2020. * Best Student Paper Award Winner *
[C177] R. Cassani, A. Tiwari, I. Posner, B. Afonso, T. Falk, Initial Investigation into Neurophysiological Correlates of Argentine Tango Flow States, IEEE SMC, 2020.
[C176] A. Tiwari, R. Cassani, J-F Gagnon, D. Lafond, S. Tremblay, T. Falk, Movement Artifact-Robust Mental Workload Assessment During Physical Activity Using Multi-Sensor Fusion, IEEE SMC, 2020.
[C175] J. Monteiro, I. Albuquerque, J. Alam, T. Falk, An End-to-End Approach for the Verification Problem: Learning the Right Distance, ICML, 2020.
[C174] J. Monteiro, J. Alam, T. Falk, A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers, Speaker Odyssey, 2020.
[C173] A. Tiwari, R. Cassani, J-F Gagnon, D. Lafond, S. Tremblay, T. Falk, Prediction of Stress and Mental Workload during Police Academy Training Using Ultra-Short-Term Heart Rate Variability and Breathing Analyses, EMBC, 2020.
[C172] L. Trambaiolli, R. Cassani, T. Falk, EEG spectro-temporal amplitude modulation as a measurement of cortical hemodynamics: an EEG-fNIRS study, EMBC 2020.
[C171] R. Cassani, A. Tiwari, and T. Falk, Optimal filter characterization for photoplethysmography-based pulse rate and pulse power spectrum estimation, EMBC 2020.
[C170] J. Monteiro, J. Alam, T. Falk, An ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers, ICASSP 2020.
[C169] J. Monteiro, J. Alam, T. Falk, On The Performance of Time-Pooling Strategies for End-to-End Speech-Based Language Identification, 12th Language Resources and Evaluation Conference, 2020.
[C168] Y. Prieur-Coloma, R.Reinoso-Leblanch, L.Mayeta-Revilla, D.Delisle-Rodriguez, T.Bastos, A.López-Delis, L. Balart-Fernandez, T. Falk, Enhancing Shoulder Pre-Movements Recognition Through EEG Riemannian Covariance Matrices For a BCI-based Exoskeleton, IEEE SMC ICHMS, 2020.
[C167] R. San-Martin, E. Johns, G. Mamani, G. Tavares, T. Falk, N. Phillips, F. Fraga, EEG source of brain communication abnormalities during Working Memory task in Mild Cognitive Impairment patients, abstract, Annual Meeting of the SBNeC, 2019.
[C166] A. Tiwari, J. Villate, S. Narayanan, T. Falk, Prediction of Psychological flexibility with multi-scale Heart Rate Variability and Breathing features in an “in-the-wild” setting, ACII: Workshop on Recognition, Treatment and Management of Pain and Distress, 2019.
[C165] R. Cassani, I. Albuquerque, J. Monteiro, and T. Falk, AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications, IEEE GlobalSIP 2019.
[C164] B. Jesus, R. Cassani, W. McGeown, T. Falk, Exploring Predictive Models of Alzheimer’s Disease Severity based on Resting State EEG and MRI Features, abstract, CCD’2019.
[C163] R. Cassani, A. Horai, L. Gheorge, T. Falk, Evaluating the Measurement of Driver Heart and Breathing Rates from a Sensor-Equipped Steering Wheel using Spectro-temporal Signal Processing, 22nd IEEE Intelligent Transportation Systems Conference, 2019.
[C162] B. Sadou, A. Lahoulou, T. Bouden, A. Avila, T. Falk, Z. Akhtar, Blind Image Quality Assessment using SVD based Dominant Eigenvectors for Feature Selection, SIPRO 2019.
[C161] J. Monteiro, J. Alam, T. Falk, Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning, Interspeech 2019.
[C160] J. Monteiro, J. Alam, T. Falk, End-to-end Detection of Attacks to Automatic Speaker Recognizers with Time-attentive Light Convolutional Neural Networks, IEEE MLSP 2019.
[C159] A. Avila, J. Alam, D. O’Shaughnessy, T. Falk, Blind Channel Response Estimation for Replay Attack Detection, Interspeech 2019.
 R. Cassani and T. H. Falk, “Automated Alzheimer’s Disease Diagnosis using a Low-Density EEG Layout and New Features based on the Power of Modulation Spectral ’Patches’,” in 2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2019.
 A. Tiwari, I. Albuquerque, J-F Gagnon, D. Lafond, M. Parent, S. Tremblay and T. Falk, Mental Workload Assessment During Physical Activity Using Non-linear Movement Artefact Robust Electroencephalography Features, IEEE SMC 2019.
[C156] M. Parent, A. Tiwari, I. Albuquerque, J-F Gagnon, D. Lafond, S. Tremblay and T. Falk, A Multimodal Approach to Improve the Robustness of Physiological Stress Prediction During Physical Activity, IEEE SMC 2019.
[C155] I. Albuquerque, J. Monteiro, O. Rosanne, T. Falk, Cross-Subject Conditional Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment, IEEE SMC 2019.
[C154] I. Albuquerque, J. Monteiro, O. Rosanne, T. Falk, Cross-Subject Conditional Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment, abstract, CMBEC’42, 2019.
[C153] J. Monteiro, I. Albuquerque, Z. Akhtar, T. Falk, Generalizable Adversarial Examples Detection Based on Bi-Model Decision Mismatch, IEEE SMC’2019.
[C152] J. Monteiro, J Alam, G Bhattacharya, T. Falk, End-to-End Language Identification using a Residual Convolutional Neural Network with Attentive Temporal Pooling, EUSIPCO 2019.
[C151] A. Avila, S. Kshirsagar, A. Tiwari, D. Lafond, D. O’Shaughnessy, and T. Falk, Speech-Based Stress and Emotion Classification Based on Modulation Spectral Features and Convolutional Neural Networks, EUSIPCO 2019.
[C150] A. Tiwari, S. Narayanan, and T. Falk, Breathing Rate Complexity Features for “In-the-Wild” Stress and Anxiety Measurement, EUSIPCO, 2019.
[C149] W. McGeown, R. Cassani, T. Falk, M. Cecchi, K. Fadem, Neuroanatomical and Neuropsychological Correlates of Resting State EEG Diagnostic Features in Patients with Alzheimer’s Disease, abstract, AAIC, 2019.
[C148] A. Tiwari, I. Albuquerque, M. Parent, J-F Gagnon, D. Lafond, S. Tremblay, and T. Falk, A Comparison of Two ECG Inter-beat Interval Measurement Methods for HRV-Based Mental Workload Prediction of Ambulant Users, CMBEC’42, 2019. *3rd place Best Student Paper Award*
[C147] J. Santos and T. Falk, Towards the development of a non-intrusive objective quality measure for DNN-enhanced speech, QoMEX 2019. *Nominated for Best Student Paper Award*
[C146] A. Avila, J. Alam, D. O’Shaughnessy, T. Falk, Intrusive Quality Measurement of Noisy and Enhanced Speech based on i-Vector Similarity, QoMEX 2019. *Nominated for Best Paper Award*
[C145] A. Tiwari, S. Narayanan, and T. Falk, Stress and Anxiety Measurement “In-the-Wild” Using Quality-aware Multi-scale HRV Features, IEEE EMBC’2019.
[C144] A. Tiwari, R. Cassani, S. Narayanan, and T. Falk, A Comparative Study of Stress and Anxiety Prediction in Ecological Settings Using a Smart-shirt and a Smart-bracelet, IEEE EMBC’2019.
[C143] O. Rosanne, I. Albuquerque, JF Gagnon, S. Tremblay, T. Falk, Performance Comparison of Automated EEG Enhancement Algorithms for Mental Workload Assessment of Ambulant Users, IEEE NER’19.
[C142] I. Albuquerque, O. Rosanne, JF Gagnon, S. Tremblay, T. Falk, Fusion of Spectral and Spectro-Temporal EEG Features for Mental Workload Assessment under Different Levels of Physical Activity, IEEE NER’19.
[C141] I. Albuquerque, J. Monteiro, T. Doan, B. Considine, T. Falk, Multi-objective training of Generative Adversarial Networks with multiple discriminators, ICML, 2019.
[C140] T. Falk, Making sense of noisy data collected from wearables to monitor human performance “in-the-wild”, invited paper, 10th International Conference on Applied Human Factors and Ergonomics, 2019.
[C139] Y. Roy, H. Banville, I. Albuquerque, A. Gramfort, T. Falk and J. Faubert, Deep learning-based EEG analysis: A review of trends from 2010 to 2018, poster at the Montreal Artificial Intelligence & Neuroscience Conference, Dec. 9-12, 2018.
[C138] J. Santos, T. Falk, Investigating the effect of residual and highway connections in speech enhancement models, NeurIPS 2018 IRASL Workshop, Dec. 2018.
[C137] J. Monteiro, I. Albuquerque T. Falk, Generating videos by traversing image manifolds learned by GANs, 1st LatinX Workshop co-located with NeurIPS, accepted, 2018.
[C136] A. Tiwari, I. Albuquerque, M. Parent, J-F Gagnon, D. Lafond, S. Tremblay, T. Falk, Heart Rate Variability and Asymmetry for Mental Workload Assessment During Physical Activity, IEEE Life Sciences Conference, 2018.
[C135] J. Monteiro, I. Albuquerque, T. Falk, Generating videos by traversing image manifolds learned by GANs, 2nd Montreal AI Symposium, August 2018.
[C134] I. Albuquerque, J. Monteiro, Thang Doan, Breandan Considine, T. Falk, Multi-objective training of Generative Adversarial Networks with multiple discriminators, 13th Women in Machine Learning workshop, co-located with NeurIPS, 2018.
[C133] I. Albuquerque, J. Monteiro, Thang Doan, Breandan Considine, T. Falk, Multi-objective training of Generative Adversarial Networks with multiple discriminators, Smooth Games Optimization and Machine Learning Workshop (NeurIPS), 2018.
[C132] A. Avila, J. Alam, D. O’Shaughnessy, T. Falk, Investigating Speech Enhancement and Perceptual Quality for Speech Emotion Recognition, accepted, Interspeech 2018.
[C131] Z. Akhtar, J. Monteiro and T. Falk, Adversarial Examples Detection Using No-Reference Image Quality Features, accepted, 52nd Annual IEEE International Carnahan Conference on Security Technology, 2018.
[C130] M-A Moinnereau, S. Karimian-Azari, T. Sakuma, H. Boutani, L. Gheorghe, and T. Falk, EEG Artifact Removal for Improved Automated Lane Change Detection while Driving, accepted IEEE SMC Conference, Brain-Machine Interface Systems Workshop, 2018.
[C129] I. Albuquerque, A. Tiwari, J-F Gagnon, D. Lafond, M. Parent, S. Tremblay and T. Falk, On the Analysis of EEG Features for Mental Workload Assessment During Physical Activity, IEEE SMC Conference, Brain-Machine Interface Systems Workshop, 2018.
[C128] L. Trambaiolli, R. Cassani, C. Biazoli, A. Cravo, J. Sato, T. Falk, Resting-awake EEG Amplitude Modulation can Predict Performance of an fNIRS-based Neurofeedback Task, accepted, IEEE SMC Conference, Brain-Machine Interface Systems Workshop, 2018.
[C127] R. Cassani, S. Narayanan, T. Falk, Respiration Rate Estimation from Noisy Electrocardiograms Based on Modulation Spectral Analysis, CMBEC 2018.
[C126] I. Albuquerque, J. Monteiro, L. Pavlovic, F. Ephrem, D. Lucaci, and T. Falk, Multimodal Assessment of Human Innovation Perception Based on Eye Tracking, Electroencephalography and Electrocardiography, CCECE 2018.
[C125] E. Santos, M-A Moinnereau, T. Falk, and F. Fraga, Use of EEG Source Localization to Improve the Accuracy of a BCI System in a Three-Task Motor Imagery Paradigm, 7th International BCI Meeting, Jan. 2018.
[C124] M-A Moinnereau, S. Karimian-Azari, T. Sakuma, H. Boutani, L. Gheorghe, and T. Falk, Automated EEG Enhancement and Recurrent Neural Networks for Lane Change Prediction during Driving, 7th International BCI Meeting, Jan. 2018.
[C123] R. Gupta, A. Avila, and T. Falk, Towards a neuro-inspired no-reference instrumental quality measure for text-to-speech systems, QoMEX 2018.
[C122] R. Cassani, M-A Moinerreau, T. Falk, A Neurophysiological Sensor-Equipped Head-Mounted Display for Instrumental QoE Assessment of Immersive Multimedia, QoMEX 2018. *Best Paper Award Winner*
[C121] S. Braun, J. Santos, E. Habets, T. Falk, A Dual-Channel Modulation Spectral Metric for Direct-To-Reverberation Ratio Estimation, ICASSP 2018.
[C120] Z. Akhtar, S. Bedoya, T. Falk, Improved Audio-Visual Laughter Detection via Multi-Scale Multi-Resolution Image Texture Features and Classifier Fusion, ICASSP 2018.
[C119] A. Avila, J. Monteiro, D. O’Shaughnessy, and T. Falk, Speech Emotion Recognition on Mobile Devices Based on Modulation Spectral Feature Pooling and Deep Neural Networks, ISSPIT 2017.
[C118] Z. Akhtar, T. Falk, Combining Left and Right Wrist Vein Images for Personal Verification, IPTA2017.
[C117] A. Drouin-Picaro, I. Albuquerque, J-F Gagnon, D. Lafond, T. Falk, EEG Coupling Features: Towards Mental Workload Measurement Based on Wearables, SMC’17.
[C116] Z. Akhtar, V. Youssofzadeh, A. Amiri, and T. Falk, An Automated Framework for Emotional fMRI Data Analysis Using Covariance Matrix, GlobalSIP 2017.
[C115] Z. Akhtar, A. Buriro, B. Crispo, T. Falk, Multimodal Smartphone User Authentication Using Touchstroke, Phone-Movement and Face Patterns, GlobalSIP 2017.
[C114] S. Karimian-Azari and T. Falk, Modulation Spectrum Based Beamforming for Speech Enhancement, WASPAA 2017.
[C113] M. Paja and T. Falk, Variants of mel-frequency cepstral coefficients for improved whispered speech speaker verification in mismatched conditions, EUSIPCO 2017, Aug. 2017.
[C112] D. Tobon, S. Jayaraman, and T. Falk, Improved Heart Rate Variability Measurement Based on Modulation Spectral Processing of Noisy Electrocardiogram Signals, IEEE 14th International Conference on Wearable and Implantable Body Sensor Networks, May 2017.
[C111] M. Senoussaoui, J. Santos, and T. Falk, Speech Temporal Dynamics Fusion Approaches for Noise-Robust Reverberation Time Estimation, ICASSP 2017.
[C110] F. Fraga, L. Ferreira, T. Falk, E. Johns, N. Phillips, Event-related Synchronization responses to N-Back Memory Tasks Discriminate Between Healthy Aging, Mild Cognitive Impairment, and Mild Alzheimer’s Disease, ICASSP 2017.
[C109] M. Estarellas, R. Cassani, T. Falk, Assessment of EEG-Based Biomarkers for Alzheimer’s Disease Progression, AD/PD 2017.
[C105] B. Cauchi, J. Santos, T. Falk, S. Goetze, P. Naylor, S. Doclo, Predicting the quality of processed speech by combining modulation based features and model trees, ITG Conference on Speech Communication 2016.
[C102] A. Clerico, C. Chamberland, P-E. Michon, S. Tremblay, T. Falk, J-C Gagnon and P. Jackson, Biometrics and classifier fusion to predict the fun-factor in video gaming, IEEE Computational Intelligence and Games Conferences 2016.
[C96] R. Bouserhal, E. MacDonald, T. Falk, and J. Voix, The Effect of Occluding the Ear on Variations in Voice Level and Fundamental Frequency with Changing Background Noise Level and Talker-to-Listener Distance, ARO MidWinter Meeting, 2016, abstract.
[C95] R. Bouserhal, E. MacDonald, T. Falk, J. Voix, The Effect of Occluding the Ear on Variations in Voice Level and Fundamental Frequency with Changing Background Noise Level and Talker-to-Listener Distance: A Pilot Study, NHCA 2016 National Hearing Conference, abstract. Poster:
[C92] R. Gupta, H. Banville, T. Falk, PhySyQX: A Database for Physiological Evaluation of Synthesized Speech Quality-of-Experience, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). Data available here.
[C91] R. Cassani and T. Falk, Automated Alzheimer’s Disease Diagnosis Using a Portable 7-Channel Electroencephalography Device, 2015 World Congress on Medical Physics and Biomedical Engineering, 2015.
[C90] R. Cassani, H. Banville, and T. Falk, MuLES: An Open Source EEG Acquisition and Streaming Server for Quick and Simple Prototyping and Recording, 20th ACM conference on intelligent user interfaces, 2015. Paper: Poster:
[C87] A. Clerico, R. Gupta, and T. Falk, Mutual Information Between Inter-Hemispheric EEG Spectro-Temporal Patterns: A New Feature for Automated Affect Recognition, 2015 IEEE Neural Engineering Conference.
[C84] R. Bouserhal, T. Falk, and J. Voix, Modeling Speech Production in Noise to Code the Vocal Effort for Use with Communication Headsets, 10th European Congress and Exposition on Noise Control Engineering, 2015.
[C82] J. Santos, A. Avila, R. Bouserhal, and T. Falk, Improving blind reverberation time estimation on a two-microphone portable device by using speech source distance information, Speech in Noise Workshop, 2015. Poster:
[C78] R. Gupta, H. Banville, I. Albuquerque, and T. Falk, Using fNIRS to Characterize Human Influential Factors: Towards Models of Quality of Experience Perception for Text-to-Speech Systems, fNIRS Meeting, 2014. Poster:
[C76] A. Avila, M. Santos, F. Fraga, and T. Falk, Investigating the use of Modulation Spectral Features within an I-vector Framework for Far-Field Automatic Speaker Verification, Intl. Telecommunications Symposium, 2014.
[C75] T. Falk, H. Banville, S. Bishundayal, R. Cassani, A. Clerico, L. Dahmani, R. Gupta, A. Ratnarajah, N. Phillips, and V. Bohbot, EEG-Theta modulation is greater in spatial learners than response learners: A scalp-EEG study in young adults tested on a virtual navigation task, Neuroscience 2014.
[C74] J. Santos, V. Parsa, S. Scollie, and T. Falk, Evaluation of the ITU-T P.563 standard as an objective enhanced speech quality metric for hearing aid users, Intl. Hearing Aid Research Conference, IHCON 2014. Poster:
[C73] A. Avila, M. Paja, F. Fraga, D. O’Shaughnessy, and T. Falk, Improving the Performance of Far-Field Speaker Verification Using Multi-Condition Training: The Case of GMM-UBM and i-vector Systems, Interspeech’2014.
[C71] R. Cassani, T. Falk, F. Fraga, P. Kanda, and R. Anghinah, Towards Automated EEG-Based Alzheimer’s Disease Diagnosis Using Relevance Vector Machines, IEEE Biosignals and Biorobotics Conference, May 2014.
[C69] A. Avila, M. Santos, F. Fraga, and T. Falk, The Effect of Speech Rate on Automatic Speaker Verification: a Comparative Analysis of GMM-UBM and I-vector Based Methods, 12th Audio Engineering Conference (AES-Brazil), May 2014.
[C68] K. Laghari, R. Gupta, S. Arndt, J-N. Antons, S. Möller, and T. Falk, Characterization of Human Emotions and Preferences for Text-to-Speech Systems Using Multimodal Neuroimaging Methods, IEEE CCECE’2014, May 2014.
[C67] B. Chihani, K. Laghari, E. Bertin, D. Collange, and N. Crespi, and T. Falk, User-centric Quality of Experience Measurement, Intl Conf Mobile Computing, Applications and Services (MobiCASE), 2013.
[C66] K. Laghari, R. Gupta, J. Antons, R. Schleicher, S. Möller, and T. Falk, Objective Characterization of Human Behavioural Characteristics for QoE Assessment: A Pilot Study on the Use of Electroencephalography Features, Globecom 2013 – Workshop on Quality of Experience for Multimedia Communications, 2013.
[C65] S. Arndt, J. Antons, R. Gupta, K. Laghari, R. Schleicher, S. Möller, and T. Falk, The Effects of Text-to-Speech System Quality on Emotional States and Frontal Alpha Band Power, IEEE EMBS Neural Engineering Conference, 2013.
[C64] R. Gupta, K. Laghari, S. Arndt, R. Schleicher, S. Möller, D. O’Shaughnessy, and T. Falk, Using fNIRS to Characterize Human Perception of TTS System Quality, Comprehension, and Fluency: Preliminary Findings, Intl Workshop on Perceptual Quality of Systems (PQS 2013).
[C63] J.-N. Antons, K. Laghari, R. Schleicher, S. Arndt, T. Falk, and S. Möller, Neural correlates of Affective States and Speech Perception: Towards Quality-of-Experience Measurement of Reverberant Speech, AIA-DAGA 2013.
[C58] K. Laghari, R. Gupta, S. Arndt, J.-N. Antons, S. Möller, R. Schleicher, and T. Falk, Neurophysiological Experimental Facility for Quality of Experience (QoE) Assessment, IFIP/IEEE Workshop on QoE Centric Management, 2013.
[C57] J. Santos, N. Brosh, T. Falk, L. Zwaigenbaum, S. Bryson, W. Roberts, I. Smith, P. Szatmari, and J. Brian, Very Early Detection Of Autism Spectrum Disorders Based On Acoustic Analysis Of Pre-Verbal Vocalizations Of 18-Month Old Toddlers, ICASSP 2013.
[C55] T. Falk, S. Cosentino, J. Santos, D. Suelzle, and V. Parsa, Non-Intrusive Objective Speech Quality and Intelligibility Prediction For Hearing Instruments In Complex Listening Environments, ICASSP 2013.
[C54] J.-N. Antons, K. Laghari, S. Arndt, R. Schleicher, S. Möller, D. O’Shaughnessy, and T. Falk, Cognitive, Affective, and Experience Correlates of Speech Quality Perception in Complex Listening Conditions, ICASSP 2013.
[C53] F. Fraga, T. Falk, L. Trambaiolli, E. Oliveira, W. Pinaya, P. Kanda, R. Anghinah, Towards an EEG-Based Biomarker For Alzheimer’s Disease: Improving Amplitude Modulation Analysis Features, ICASSP 2013.
[C52] K. Laghari, R. Gupta, S. Arndt, J.-N. Antons, S. Möller, R. Schleicher, D. O’Shaughnessy, and T. Falk, Auditory BCIs for Visually Impaired Users: Should Developers Worry About the Quality of Text-to-Speech Readers?, 5th Intl. BCI Meeting 2013.
[C51] N. Brosh, J. Santos, T. Falk, L. Zwaigenbaum, S. Bryson, W. Roberts, I. Smith, P. Szatmari, and J. Brian, Acoustic Measurement of Prosodic Information in Toddlers with Autism Spectrum Disorders, 2013 International Meeting for Autism Research (IMFAR), abstract.
[C50] R. Bou Serhal, J. Voix, T. Falk, Integration of a distance sensitive wireless communication protocol to hearing protectors equipped with in-ear microphones, International Congress on Acoustics, 2013.
[C47] S. Cosentino, J. Culling, T. Falk, T. Marquardt, and D. McAlpine, A Blind Binaural Speech Intelligibility Prediction Model, 36th MidWinter Meeting of the Association for Research in Otolaryngology, 2013, abstract.
[C45] K. Laghari, F. Speranza, O. Issa, T. Falk, Quality-of-Experience Perception for Video Streaming Services: Preliminary Objective and Subjective Findings, APSIPA 2012, Special Session on Perception-based Multimedia Quality Assessment and Processing.
[C43] T. Falk, Y. Pomerantz, K. Laghari, S. Moller, and T. Chau, Preliminary Findings on Image Preference Characterization based on Neurophysiological Signal Analysis: Towards Objective QoE Modelling, QoMEX’2012.
[C42] J. Santos, S. Cosentino, O. Hazrati, P. Loizou, and T. Falk, Performance Comparison of Intrusive Objective Speech Intelligibility and Quality Metrics for Cochlear Implant Users, Interspeech’2012.
[C40] S. Cosentino, T. Marquardt, D. McAlpine, and T. Falk, Towards Objective Measures of Speech Intelligibility for Cochlear Implant Users in Reverberant Environments, ISSPA’2012. *Best Paper Award Winner*
[C39] T. Falk, L. Trambaiolli, F. Fraga, R. Anghinah, and N. Phillips, Quantitative Evidence of EEG Amplitude Modulation Changes in Alzheimer’s Disease: Implications for Early Detection and Treatment Outcome Measurement, Canadian Conference on Dementia, abstract, 2011. *Ranked Top-5 New & Notable*
[BC15] L. Trambaiolli, T. Falk, Brain-computer interfaces for affective neurofeedback applications, in Handbook of Human-Machine Systems (Eds. G. Fortino, D. Kaber, A. Nürnberger, D. Mendonca), Chapter 3, 17 pages, 2023.
[BC14] T. Falk, I. Volosyak, C. Guger, Brain-Computer Interfaces: Recent Advances, Challenges, and Future Directions, in Handbook of Human-Machine Systems (Eds. G. Fortino, D. Kaber, A. Nürnberger, D. Mendonca), Chapter 2, 17 pages, 2023.
[BC13] H. Bainville, L. Trambaiolli, T. Falk, Hybrid Neurotechnology Systems, in The Neurotech Primer: A Begginer’s Guide to Everything Neurotechnology (Eds.: S. Swain-Simon and L. Shannon), Chapter 12, pp. 165-178, 2021.
[BC12] S. Bedoya, N. Brosh, J. Brian, D. O’Shaughnessy, and T. Falk, Acoustic and prosodic analysis of vocalizations of 18-month old toddlers with autism spectrum disorder, chapter in Acoustic Analysis of Pathologies: From Infancy to Young Adulthood (Editors: Hemant Patil and Amy Neustein), de Gruyter Publisher, April 2020.
[BC11] M. Senoussaoui, M. Paja, P. Cardinal, T. Falk, F. Michaud, State-of-the-Art Speaker Recognition Methods Applied to Speakers with Dysarthria, chapter in Voice Technologies for Speech Reconstruction and Enhancement, (Editors: Hemant Patil and Amy Neustein), Chapter 1, pp. 7-34, de Gruyter Publisher, Feb. 2020.
[BC10] L. Trambaiolli and T. Falk, Hybrid Brain-Machine Interfaces: A Review of Existing Solutions, their Advantages and Open Challenges, chapter 10, in Smart Wheelchairs and Brain-computer Interfaces, (Editor: Pablo Diez), Academic Press, 2018, pp. 229-256.
[BC9] T. Falk and E. Sejdic, Signal Processing in the Era of Biomedical Big Data, Chapter 1 in Signal Processing and Machine Learning for Biomedical Big Data (Editors: E. Sejdic and T. Falk), CRC Press, July 2018.
[BC7] H. Al Osman and T. Falk, Multimodal Affect Recognition: Current Approaches and Challenges, in Emotion and Attention Recognition Based on Biological Signals and Images (Ed. Seyyed Abed Hosseini), In-Tech Publishing, Chapter 5, pp.59-86, Feb. 2017.
[BC6] B. Chihani, K. Laghari, E. Bertin, D. Collange, N. Crespi, T. Falk, User-Centric Quality of Experience Measurement, in Mobile Computing, Applications, and Services – Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, G. Memmi and U. Blanke (Eds.), Springer, Volume 130, 2014, pp 33-46.
[BC5] K. Paton, T. Chau, and T. Falk, Client-centred Music Imagery Classification Based on Hidden Markov Models of Baseline Prefrontal Hemodynamic Response, in Brain-Computer Interface Systems – Recent Progress and Future Prospects, R. Fazel-Rezai (Ed.), In-Tech Publishing, Chapter 7, pp. 137-154, 2013.
[BC3] N. Alves, S. Blain, T. Falk, B. Leung, N. Memarian, T. Chau, Access Technologies for Children and Youth with Severe Motor Disabilities, in Paediatric Rehabilitation Engineering: From Disability to Possibility, CRC Press, Chapter 3, pp. 45-84, 2011.
[O8] P. Giovenazzo, E. Henry, T. Falk, L’intelligence artificielle au service de l’apiculture, L’Abeille, Summer 2022, Vol. 44, No. 4, pp. 15-16.
[O7] A. N. Belkacem, T. Falk, T. Yanagisawa, C. Guger, Editorial: Cognitive and Motor Control Based on Brain-Computer Interfaces for Improving the Health and Well-Being in Older Age, Journal: Frontiers in Human Neuroscience, April 2022.
[O6] Perkis, A., Timmerer, C., Baraković, S., Husić, J. B., Bech, S., Bosse, S., … Falk, T. & Saibanti, A. D. P. (2020). QUALINET White Paper on Definitions of Immersive Media Experience (IMEx). arXiv preprint arXiv:2007.07032.
[O5] R. Anghinah, W. Paiva, T. Falk and F. Fregni, Editorial: NEUROTRAUMA: from emergency room to back to day-by-day life, Frontiers in Neurology, pp. 1-2, 2018.
[O2] T. Falk, MuSAE Lab Research: From Anthropomorphic Speech Technologies to Human-Machine Interfaces and Health Diagnostics Tools, Journal of the Canadian Acoustical Association, Special Issue on l’Annuaire de l’Acoustique à Montréal, Vol. 43, No. 2, June 2015.
[O1] S. Möller and T. Falk, Single-Ended Quality Estimation of Synthesized Speech: Analysis of the Recommendation P.563 Internal Signal Processing, ITU-T Contribution COM-12-180, 2008.
[P4] T. Falk, D. Vallejo, S. Jarayaman, Method and System for Determining Heart Rate Variability, Provisional patent application number: 62/444,534. Filed on January 10, 2017.
[P3] J. Voix, R. Bouserhal, and T. Falk, Device and Method for Improving the Quality of In-Ear Microphone Signals in Noisy Environments.
– USA: US10783904 B2, September 22, 2020.
– Europe: EP3453189 B1, April 14, 2021.
– Canada: CA3074050 A1, November 9, 2017.
[P2] T. Falk, D. Vallejo, M. Maier, Method and System for Evaluating a Noise Level of a Biosignal.
– Canada: CA2937693 A1, January 17, 2017.
– USA: US10779769 B2, September 22, 2020.
– Europe (Germany, France, United Kingdom): 3107447; December 7, 2022
[P1] W.-Y. Chan, T. Falk, and Q. Xu, Single-Sided Speech Quality Measurement.
– USA: US9786300 B2, October 10, 2017.
[PhD11] J. Monteiro Filho, Closing the Gap Between Research and Practice in the Case of Voice Biometrics: Training Improvements and Similarity Learning for More Robust Verification, INRS-EMT, Montreal, QC, Canada, 2021.
[PhD3] R. Bouserhal, Speech Bandwidth Extension and Vocal Effort Coding for Enhanced Communication in Noisy Industrial Environments, ÉTS, Montreal, QC, Canada, 2016.
[PhD2] S. Cosentino (visiting PhD student, 2012), Development and Evaluation of Objective Measures to Predict the Speech Intelligibility of Unilateral and Bilateral Cochlear Implant Users in Noise and Reverberation, University College London, 2014.
[MSc5] A. Drouin-Picaro, Modèle Hiérarchique pour l’Amélioration de l’Évaluation de l’État Mental de l’Opérateur à l’Aide de Technologies Portables (Hierarchical Model for Improved Operator Functional State Assessment Based on Wearables), INRS-EMT, Montreal, QC, Canada, 2017.