Jonathan Brumberg is an Assistant Professor in the Department of Speech-Language-Hearing with a courtesy appointment in Electrical Engineering and Computer Science, and affiliations with the Neuroscience Graduate Program and Bioengineering Graduate Program. He earned his PhD at Boston University in the area of computational neuroscience of speech motor control in 2009 and continued at Boston University as a research assistant professor before coming to the University of Kansas in 2012. His research interests are in the neurological mechanisms underlying speech and communication and their use in brain-machine interfaces (BMI).
Ph.D., Cognitive and Neural Systems, Boston University
B.A., Philosophy, University of Delaware
B.S., Computer and Information Sciences, University of Delaware
Dr. Brumberg teaches undergraduate and graduate courses involving the neural bases of speech production / motor control (SPLH 462) and speech perception (AUD 816). He also mentors undergraduate students in the university research experience program in speech-language-hearing, and electrical engineering and computer science.
- Speech science
- Speech perception
Dr. Brumberg is interested in understanding the neural mechanisms underlying speech production, through electrophysiological and behavioral studies. He currently directs an NIH funded research program to develop brain-machine interfaces for control of augmentative and alternative communication devices using electroencephalography (EEG). He is also interested in studying the role of interactive computer programs and interfaces in speech research and rehabilitation, specifically those employing artificial speech synthesis for studying speech production in speakers with and without impairment.
- Speech neuroscience
- Speech motor control
- Brain machine interfaces
Dr. Brumberg is an associate editor of Brain-Computer Interfaces and is a member of the Society for Neuroscience, the American Speech-Language-Hearing Association and the BCI Society.
Pitt, K. M., & Brumberg, J. S. (in press). Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology.
Brumberg, J. S., Pitt, K. M., & Burnison, J. D. (in press). A non-invasive brain-computer interface for real-time speech synthesis: The Importance of Multimodal Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering. DOI:10.1109/TNSRE.2018.2808425
Brumberg, J. S., Pitt, K. M., Mantie-Kozlowski, A. & Burnison, J. D. (2018). Brain-computer interfaces for augmentative and alternative communication: a tutorial. American Journal of Speech-Language Pathology, 27, 1-12. DOI:10.1044/2017_AJSLP-16-0244
Brumberg, J. S., Nguyen, A. Pitt, K. M., & Lorenz, S. D. (2018). Examining sensory ability, feature matching, and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential . Disability and Rehabilitation: Assistive Technology, 1-9. DOI:10.1080/17483107.2018.1428369
Schultz, T. Wand, M. Hueber, T. Krusienski, D. J., & Brumberg, J. S. (2017). Biosignal-based Spoken Communication: A Survey. IEEE Transactions on Audio, Speech, and Language Processing, 25(12), 2257-2271. DOI:10.1109/TASLP.2017.2752365
Brumberg, J. S., Burnison, J. D., & Pitt, K. M. (2016). Using motor imagery to control brain-computer interfaces for communication. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (pp. 14-24). Spring International Publishing Switzerland. DOI:10.1007/978-3-319-39955-3 2
Brumberg, J. S., Krusienski, D. J., Chakrabarti, S. Gunduz, A. Brunner, P. Ritaccio, A. & Schalk, G. (2016). Spatio-temporal Evolution of Cortical Processes Related to Continuous Overt and Covert Speech in a Reading Task. PLoS ONE, 11. DOI:10.1371/journal.pone.0166872 http://dx.doi.org/10.1371/journal.pone.0166872 https://kuscholarworks.ku.edu/handle/1808/22068
Brumberg, J. S., Burnison, J. D., & Guenther, F. H. (2016). Brain-machine interfaces for speech restoration. In P. van Leishout, B. Maassen, & H. Terband (Eds.), Speech motor control in normal and disordered speech: future developments in theory and methodology.
Brumberg, J. S., Castro, N. & Rao, A. (2015). Temporal dynamics of the speech readiness potential, and its use in a neural decoder of speech motor intention. In Interspeech 2015.
Chakrabarti, S. Sandberg, H. M., Brumberg, J. S., & Krusienski, D. J. (2015). Progress in speech decoding from the electrocorticogram. Biomedical Engineering Letters, 5(1), 10-21. DOI:10.1007/s13534-015-0175-1
Lotte, F. Brumberg, J. S., Brunner, P. Gunduz, A. Ritaccio, A. L., Guan, C. & Schalk, G. (2015). Electrocorticographic Representations of Segmental Features in Continuous Speech. Frontiers in Human Neuroscience, 9(97). DOI:10.3389/fnhum.2015.00097
Stephen, E. LePage, K. Q., Eden, U. T., Brumberg, J. S., Guenther, F. H., & Kramer, M. A. (2014). Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers in Computational Neuroscience, 8(31). DOI:10.3389/fncom.2014.00031
Terband, H. Maassen, B. Guenther, F. H., & Brumberg, J. S. (2014). Neurocomputational modeling of speech motor control in developmental speech disorders: testing hypotheses about underlying neurological mechanisms. Journal of Communication Disorders, 47, 17-33. DOI:10.1016/j.jcomdis.2014.01.001
Brumberg, J. S., Wright, E. J., Andreasen, D. S., Guenther, F. H., & Kennedy, P. R. (2011). Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex. Frontiers in Neuroscience, 5(65).
Brumberg, J. S., Nieto-Castanon, A. Kennedy, P. & Guenther, F. (2010). Brain-computer interfaces for speech communication. Speech communication, 52(4), 367–379.
Brumberg, J. S., & Guenther, F. H. (2010). Development of speech prostheses: current status and recent advances. Expert review of medical devices, 7(5), 667–79.
Denby, B. Schultz, T. Honda, K. Hueber, T. Gilbert, J. & Brumberg, J. S. (2010). Silent speech interfaces. Speech Communication , 52(4), 270–287.
Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A. Tourville, J. A., Panko, M. Law, R. Siebert, S. A., Bartels, J. L., Andreasen, D. S., Ehirim, P. Mao, H. & Kennedy, P. R. (2009). A Wireless Brain-Machine Interface for Real-Time Speech Synthesis. PLoS ONE, 4(12), e8218.
Brumberg, J. S., Pitt, K. M. & Burnison, J. D. (11/30/2016). Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits. American Speech-Language-Hearing Association Convention 2016. Philadelphia, PA
Pitt, K. M., Brumberg, J. S., Searl, J. & Kuruvilla-Dugdale, M. . (11/30/2016). Inter-institutional, cutting edge ALS research across the disease course, from motor speech to AAC BCI. American Speech-Language-Hearing Convention 2016. Philadelphia, PA
Brumberg, J. S. (08/16/2016). Using imagined and preparatory motor activity to control assistive devices for speech communication. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Workshop on Communication, Restoration of Function, and Consciousness Assessment with BCI. Orlando, FL
Brumberg, J. S., Burnison, J. D. & Pitt, K. M. (07/20/2016). Using motor imagery to control brain-computer interfaces for communication. 18th International Conference on Human-Computer Interaction, 10th International Conference on Augmented Cognition. Toronto, ON, Canada
Brumberg, J. S., Krusienski, D. J., Lotte, F. & Schalk, G. . (06/30/2016). Examining speech production using intracranial electrophysiological recordings. 6th International Brain-Computer Interface Meeting, Workshop on Decoding Speech Processes using Intracranial Signals. Pacific Grove, CA
Brumberg, J. S., Lotte, F. Krusienski, D. J. & Schalk, G. . (03/31/2016). The spatiotemporal dynamics of speech as segmental and suprasegmental timescales. 2016 Motor Speech Conference. Newport Beach, CA
Peters, B. Brumberg, J. S., Mooney, A. Fried-Oken, M. & Zeitlin, D. . (11/12/2015). State of the science update: brain-computer interfaces for augmentative & alternative communication. American Speech-Language-Hearing Association Convention 2015. Denver, CO
Brumberg, J. S. (07/31/2014). Interdisciplinary collaborations at work in brain-machine interface research. Merrill Research Retreat. Lied Lodge, Nebraska City, NE
Stepp, C. E. & Brumberg, J. S. (11/16/2013). What you need to know: surface electromyography & electroencephalography in speech & hearing. Annual Convention of the American Speech-Language-Hearing Association, 2013. Chicago, IL
Stepp, C. E., Patel, R. & Brumberg, J. S. (11/30/2012). Games for assessment and rehabilitation of speech and language impairments. Annual Convention for American Speech-Language-Hearing Association, 2012. Atlanta, GA
Brumberg, Jonathan S, (Principal), Translating brain-computer interface to commercial augmentative and alternative communication devices for clinical practice, University of Kansas, $8,000, Submitted 08/20/2014 (09/12/2014 . University (KU or KUMC). Status: Funded.
Brumberg, Jonathan S., (Principal), Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits, American Speech-Language-Hearing Foundation, $25,000, Submitted 04/24/2015 (01/01/2016 - 12/31/2016) . Not-for-Profit (not Foundation). Status: Funded.
Brumberg, Jonathan S, (Co-Investigator), Prosody in congenital and acquired dysarthria, R21DC013095-01A1, National Institutes of Health / National Institute for Deafness and Other Communication Disorders, $59,947, Submitted 03/05/2013 (12/01/2013 - 11/30/2016) . Federal. Status: Funded.
Brumberg, J. S., (Principal), Investigating output modality for a brain-computer interface for communication, NIH R03 DC011304, National Institute of Deafness and Other Communication Disorders (NIDCD), $300,000, (09/21/2011 - 08/31/2016) . Federal. Status: Funded.
Brumberg, Jonathan S, (Co-Investigator), CELEST: A Center of Excellence for Learning in Education, Science and Technology, SMA-0835976, National Science Foundation, $26,041, (03/01/2013 - 02/28/2015) . Federal. Status: Funded.
Selected Awards & Honors
EURASIP Best Paper Award
European Association for Signal Processing