Prof. Dr. Tobias Reichenbach

2024

• Auernheimer, J., & Reichenbach, T. (2024). Estimation of the Neural Sources of the EEG-measured Speech-FFR using a Phenomenological Model of Auditory-nerve Fiber Responses. In European Signal Processing Conference (pp. 887-891). Lyon, FRA: European Signal Processing Conference, EUSIPCO.
• Keshavarzi, M., Salorio-Corbetto, M., Reichenbach, T., Marriage, J., & Moore, B.C. (2024). Development of New Open-Set Speech Material for Use in Clinical Audiology with Speakers of British English. Audiology Research, 14(2), 264-279. https://doi.org/10.3390/audiolres14020024
• Riegel, J., Schüller, A., & Reichenbach, T. (2024). No Evidence of Musical Training Influencing the Cortical Contribution to the Speech-Frequency-Following Response and Its Modulation through Selective Attention. eNeuro, 11(9). https://doi.org/10.1523/ENEURO.0127-24.2024
• Saiz-Alia, M., Miller, P., & Reichenbach, T. (2024). Speech-DPOAEs for probing speech processing in the inner ear. In Wei Dong, Bastian Epp (Eds.), AIP Conference Proceedings. Helsingor, DNK: American Institute of Physics.
• Thornton, M., Auernheimer, J., Jehn, C., Mandic, D., & Reichenbach, T. (2024). Detecting Gamma-Band Responses to the Speech Envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge. In 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops, ICASSPW 2024 - Proceedings (pp. 55-56). Seoul, KR: Institute of Electrical and Electronics Engineers Inc..
• Thornton, M., Mandic, D.P., & Reichenbach, T. (2024). Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks. IEEE Open Journal of Signal Processing, 1-18. https://doi.org/10.1109/OJSP.2024.3378593

2023

• Guilleminot, P., Graef, C., Butters, E., & Reichenbach, T. (2023). Audiotactile Stimulation Can Improve Syllable Discrimination through Multisensory Integration in the Theta Frequency Band. Journal of Cognitive Neuroscience, 35(11), 1760-1772. https://doi.org/10.1162/jocn_a_02045
• Mohammadi, Y., Graversen, C., Østergaard, J., Andersen, O.K., & Reichenbach, T. (2023). Phase-locking of Neural Activity to the Envelope of Speech in the Delta Frequency Band Reflects Differences between Word Lists and Sentences. Journal of Cognitive Neuroscience, 35(8), 1301-1311. https://doi.org/10.1162/jocn_a_02016
• Schüller, A., Schilling, A., Krauß, P., Rampp, S., & Reichenbach, T. (2023). Attentional modulation of the cortical contribution to the frequency-following response evoked by continuous speech. The Journal of Neuroscience, 43(44), 7429-7440. https://doi.org/10.1523/JNEUROSCI.1247-23.2023
• Thornton, M., Mandic, D., & Reichenbach, T. (2023). Relating EEG Recordings to Speech Using Envelope Tracking and The Speech-FFR. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Rhodes Island, GR: Institute of Electrical and Electronics Engineers Inc..
• Varano, E., Guilleminot, P., & Reichenbach, T. (2023). AVbook, a high-frame-rate corpus of narrative audiovisual speech for investigating multimodal speech perception. Journal of the Acoustical Society of America, 153(5), 3130-3137. https://doi.org/10.1121/10.0019460

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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://doi.org/10.3389/fnhum.2020.00109