Tobias Reichenbach’s multidisciplinary research combines methods from artificial intelligence with computational neuroscience and neuroimaging to advance our understanding of the neural processing of complex natural signals, with applications in medicine and technology.
Research projects
Audiovisual speech perception
Cognitively controlled smart hearing aids
Diagnosis of speech-in-noise impairments
Artificial spiking neural networks for speech Processing
Current projects Current projects
Recent publications Recent publications
2022
Etard, O., Messaoud, R.B., Gaugain, G., & Reichenbach, T. (2022). No Evidence of Attentional Modulation of the Neural Response to the Temporal Fine Structure of Continuous Musical Pieces . Journal of Cognitive Neuroscience , 34 (3), 411-424. https://dx.doi.org/10.1162/jocn_a_01811
Guilleminot, P., & Reichenbach, T. (2022). Enhancement of speech-in-noise comprehension through vibrotactile stimulation at the syllabic rate . Proceedings of the National Academy of Sciences of the United States of America , 119 (13). https://dx.doi.org/10.1073/pnas.2117000119
Kegler, M., Weissbart, H., & Reichenbach, T. (2022). The neural response at the fundamental frequency of speech is modulated by word-level acoustic and linguistic information . Frontiers in Neuroscience , 16 . https://dx.doi.org/10.3389/fnins.2022.915744
Thornton, M., Mandic, D., & Reichenbach, T. (2022). Robust decoding of the speech envelope from EEG recordings through deep neural networks . Journal of Neural Engineering , 19 (4). https://dx.doi.org/10.1088/1741-2552/ac7976
Varano, E., Vougioukas, K., Ma, P., Petridis, S., Pantic, M., & Reichenbach, T. (2022). Speech-Driven Facial Animations Improve Speech-in-Noise Comprehension of Humans . Frontiers in Neuroscience , 15 . https://dx.doi.org/10.3389/fnins.2021.781196
2021
Kegler, M., & Reichenbach, T. (2021). Modelling the effects of transcranial alternating current stimulation on the neural encoding of speech in noise . NeuroImage , 224 . https://dx.doi.org/10.1016/j.neuroimage.2020.117427
Keshavarzi, M., Reichenbach, T., & Moore, B.C.J. (2021). Transient Noise Reduction Using a Deep Recurrent Neural Network: Effects on Subjective Speech Intelligibility and Listening Comfort . Trends in Hearing , 25 . https://dx.doi.org/10.1177/23312165211041475
Kulkarni, A., Kegler, M., & Reichenbach, T. (2021). Effect of visual input on syllable parsing in a computational model of a neural microcircuit for speech processing . Journal of Neural Engineering , 18 (5). https://dx.doi.org/10.1088/1741-2552/ac28d3
Sumner, L., Mestel, J., & Reichenbach, T. (2021). Steady streaming as a method for drug delivery to the inner ear . Scientific Reports , 11 (1). https://dx.doi.org/10.1038/s41598-020-79946-z
Wairagkar, M., Lima, M.R., Bazo, D., Craig, R., Weissbart, H., Etoundi, A.C.,... Vaidyanathan, R. (2021). Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots . IEEE Internet of Things . https://dx.doi.org/10.1109/JIOT.2021.3097592
2020
Kadir, S., Kaza, C., Weissbart, H., & Reichenbach, T. (2020). Modulation of Speech-in-Noise Comprehension through Transcranial Current Stimulation with the Phase-Shifted Speech Envelope . IEEE Transactions on Neural Systems and Rehabilitation Engineering , 28 (1), 23-31. https://dx.doi.org/10.1109/TNSRE.2019.2939671
Keshavarzi, M., Kegler, M., Kadir, S., & Reichenbach, T. (2020). Transcranial alternating current stimulation in the theta band but not in the delta band modulates the comprehension of naturalistic speech in noise . NeuroImage , 210 . https://dx.doi.org/10.1016/j.neuroimage.2020.116557
Keshavarzi, M., & Reichenbach, T. (2020). Transcranial Alternating Current Stimulation With the Theta-Band Portion of the Temporally-Aligned Speech Envelope Improves Speech-in-Noise Comprehension . Frontiers in Human Neuroscience , 14 . https://dx.doi.org/10.3389/fnhum.2020.00187
Ota, T., Nin, F., Choi, S., Muramatsu, S., Sawamura, S., Ogata, G.,... Hibino, H. (2020). Characterisation of the static offset in the travelling wave in the cochlear basal turn . Pflügers Archiv: European Journal of Physiology , 472 (5), 625-635. https://dx.doi.org/10.1007/s00424-020-02373-6
Saiz-Alia, M., & Reichenbach, T. (2020). Computational modeling of the auditory brainstem response to continuous speech . Journal of Neural Engineering , 17 (3). https://dx.doi.org/10.1088/1741-2552/ab970d
Vanheusden, F.J., Kegler, M., Ireland, K., Georga, C., Simpson, D.M., Reichenbach, T., & Bell, S.L. (2020). Hearing Aids Do Not Alter Cortical Entrainment to Speech at Audible Levels in Mild-to-Moderately Hearing-Impaired Subjects . Frontiers in Human Neuroscience , 14 . https://dx.doi.org/10.3389/fnhum.2020.00109
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Tobias Reichenbach’s multidisciplinary research combines methods from artificial intelligence with computational neuroscience and neuroimaging to advance our understanding of the neural processing of complex natural signals, with applications in medicine and technology.
Research projects
Current projects
No projects found.
Recent publications
2022
2021
2020
Related Research Fields
Contact: