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This study shows neural envelope tracking can predict speech intelligibility and hearing aid benefit in children with hearing loss, correlating with behavioral measures and showing improved tracking with hearing aids.

This study shows that delta-band neural envelope tracking correlates with speech intelligibility in noise in preschoolers, offering an objective measure for assessing speech in difficult-to-test populations.

The paper investigates how speech understanding affects acoustic and linguistic neural tracking by manipulating speech rate, finding that acoustic tracking increases while linguistic tracking decreases with higher speech rates.

This study investigates how stimulus intensity affects neural speech envelope tracking in normal-hearing participants using EEG and finds that envelope reconstruction is robust when the decoder is trained and tested on the same intensity.

This paper investigates whether an EEG-based speech intelligibility measure works with natural speech, finding it feasible and showing enhanced neural tracking with natural stories.

The paper introduces a data-driven spatial filtering method to improve cortical tracking of speech in EEG by automatically selecting channels and incorporating phonetic features in Dutch.

The paper predicts individual speech intelligibility from EEG by modeling cortical tracking of speech representations, finding that theta band and combined phonetic-spectrogram features best predict speech reception thresholds.

This study shows that neural envelope tracking correlates with speech understanding in cochlear implant users, suggesting it as an objective measure for CI fitting and closed-loop systems.

This study develops a method to measure neural speech envelope tracking in cochlear implant users by eliminating stimulus artifacts from EEG recordings.