  The 2024 ICASSP Auditory EEG Signal Processing Grand Challenge concerns the
decoding of electroencephalography (EEG) measurements taken from participants
who listened to speech material. This work details our solution to the
match-mismatch sub-task: given a short temporal segment of EEG recordings and
several candidate speech segments, the task is to classify which of the speech
segments was time-aligned with the EEG signals. We show that high-frequency
gamma-band responses to the speech envelope can be detected with a high
accuracy. By jointly assessing gamma-band responses and low-frequency envelope
tracking, we develop a match-mismatch decoder which placed first in this task.
