6 citations · 9 across the 4 of their papers we have counts for
4 papers
A Resource-Efficient CNN-Based EEG Auditory Attention Decoding ASIC
Qier Ma, Richard George, Stefan Scholze +3
Following a target speaker in a noisy environment, commonly known as the cocktail party problem, remains particularly challenging for cochlear implant (CI) users. Recent studies ha…
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…
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…
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…