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Tobias Reichenbach

Professor

Friedrich-Alexander Universität Erlangen-Nürnberg

Germany

Research Interests

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Professors in Germany

About

Professor Tobias Reichenbach is a faculty member at Friedrich-Alexander-University Erlangen-Nürnberg in Germany. His research primarily focuses on decoding selective attention to speech, the cortical contributions to auditory processing, and the application of deep neural networks in neuroscience. Recent articles include investigations into Cochlear implant users' attention decoding and the effects of visual input on speech processing. His work contributes to the understanding of cognitive and neural mechanisms underlying speech perception.

Articles (17)

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2026

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2020

Collaborators (4)

Patrick Krauss

Group Leader

Friedrich-Alexander Universität Erlangen-Nürnberg

GERMANY

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Mikolaj Kegler

Graduate Teaching Assistant

Imperial College London

UNITED KINGDOM

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Danilo Mandic

Imperial College London

UNITED KINGDOM

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Shabnam Kadir

Senior Lecturer

University of Hertfordshire

UNITED KINGDOM

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Tobias Reichenbach

Research Interests

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Articles (17)

CORSICA: reproducible suppression of cochlear implant artifacts in EEG evoked by continuous speech

Relationships between speech-in-noise comprehension, lip reading ability and cortical speech tracking in talking avatars as well as natural talking heads

The Cortical Contribution to the Speech‐Frequency–Following Response Is Not Modulated by Visual Information

Attention decoding at the cocktail party: Preserved in hearing aid users, reduced in cochlear implant users

Delta-band cortical speech tracking predicts audiovisual speech-in-noise benefit from natural and simplified visual cues

CNNs improve decoding of selective attention to speech in cochlear implant users

Comparison of Linear and Nonlinear Methods for Decoding Selective Attention to Speech From Ear-EEG Recordings

No Evidence of Musical Training Influencing the Cortical Contribution to the Speech-Frequency-Following Response and Its Modulation through Selective Attention

Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks

Attentional Modulation of the Cortical Contribution to the Frequency-Following Response Evoked by Continuous Speech

Robust decoding of the speech envelope from EEG recordings through deep neural networks

Emotive Response to a Hybrid-Face Robot and Translation to Consumer Social Robots

Effect of visual input on syllable parsing in a computational model of a neural microcircuit for speech processing

Cortical Tracking of a Background Speaker Modulates the Comprehension of a Foreground Speech Signal

Otoacoustic Emissions Evoked by the Time-Varying Harmonic Structure of Speech

Computational modeling of the auditory brainstem response to continuous speech

Modulation of Speech-in-Noise Comprehension Through Transcranial Current Stimulation With the Phase-Shifted Speech Envelope

Collaborators (4)

Patrick Krauss

Mikolaj Kegler

Danilo Mandic

Shabnam Kadir

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