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Frontiers in Human Neuroscience|June 18, 2020
Transcranial Alternating Current Stimulation With the Theta-Band Portion of the Temporally-Aligned Speech Envelope Improves Speech-in-Noise ComprehensionMahmoud Keshavarzi, Tobias Reichenbach
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 30, 2021
Cortical Tracking of a Background Speaker Modulates the Comprehension of a Foreground Speech SignalMahmoud Keshavarzi, Enrico Varano, Tobias Reichenbach
Neuroimage|January 23, 2020
Transcranial alternating current stimulation in the theta band but not in the delta band modulates the comprehension of naturalistic speech in noiseMahmoud Keshavarzi, Mikolaj Kegler, Shabnam Kadir, et al.
Trends in Hearing|October 4, 2021
Transient Noise Reduction Using a Deep Recurrent Neural Network: Effects on Subjective Speech Intelligibility and Listening ComfortMahmoud Keshavarzi, Tobias Reichenbach, Brian C J Moore
International Journal of Audiology|May 17, 2018
Evaluation of a multi-channel algorithm for reducing transient soundsMahmoud Keshavarzi, Thomas Baer, Brian C J Moore
International Journal of Audiology|September 26, 2023
An association between auditory responsiveness of children and duration of entertainment screen time in the early years of lifeJosephine E Marriage, Mahmoud Keshavarzi, Brian C J Moore
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Neural processing of rhythmic speech by children with developmental language disorder (DLD): An EEG studyMahmoud Keshavarzi, Susan Richards, Georgia Feltham, et al.
Brain and Language|June 25, 2026
Cortical tracking of natural speech by children with developmental language disorder (DLD): An EEG speech decoding investigationMahmoud Keshavarzi, Susan Richards, Georgia Feltham, et al.
The Journal of the Acoustical Society of America|August 3, 2019
Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implantsTobias Goehring, Mahmoud Keshavarzi, Robert P Carlyon, et al.
The Journal of the Acoustical Society of America|May 10, 2019
Comparison of effects on subjective intelligibility and quality of speech in babble for two algorithms: A deep recurrent neural network and spectral subtractionMahmoud Keshavarzi, Tobias Goehring, Richard E Turner, et al.
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