activity
20222024
most citedDetecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2024★ 6 cited

Detecting gamma-band responses to the speech envelope for the ICASSP 2024 Auditory EEG Decoding Signal Processing Grand Challenge

Mike Thornton, Jonas Auernheimer, Constantin Jehn +2

The 2024 ICASSP Auditory EEG Signal Processing Grand Challenge concerns the decoding of electroencephalography (EEG) measurements taken from participants who listened to speech mat…

eess.AS2024★ 1 cited

Comparison of linear and nonlinear methods for decoding selective attention to speech from ear-EEG recordings

Mike Thornton, Danilo Mandic, Tobias Reichenbach

Many people with hearing loss struggle to comprehend speech in crowded auditory scenes, even when they are using hearing aids. It has recently been demonstrated that the focus of a…

eess.AS2023★ 2 cited

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

Mike Thornton, Danilo Mandic, Tobias Reichenbach

The electroencephalogram (EEG) offers a non-invasive means by which a listener's auditory system may be monitored during continuous speech perception. Reliable auditory-EEG decoder…

eess.AS2023

Relating EEG recordings to speech using envelope tracking and the speech-FFR

Mike Thornton, Danilo Mandic, Tobias Reichenbach

During speech perception, a listener's electroencephalogram (EEG) reflects acoustic-level processing as well as higher-level cognitive factors such as speech comprehension and atte…

physics.med-ph2022★ 1 cited

Ear-EEG Sensitivity Modelling for Neural and Artifact Sources

Metin Yarici, Mike Thornton, Danilo Mandic

The ear-EEG has emerged as a promising candidate for wearable brain monitoring in real-world scenarios. While experimental studies have validated ear-EEG in multiple scenarios, the…