Mahmoud Keshavarzi
Mahmoud Keshavarzi
Research Associate, Department of Psychology, University of Cambridge
Verified email at
Cited by
Cited by
Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants
T Goehring, M Keshavarzi, RP Carlyon, BCJ Moore
The Journal of the Acoustical Society of America 146 (1), 705-718, 2019
Transcranial alternating current stimulation in the theta band but not in the delta band modulates the comprehension of naturalistic speech in noise
M Keshavarzi, M Kegler, S Kadir, T Reichenbach
Neuroimage 210, 116557, 2020
Use of a deep recurrent neural network to reduce wind noise: Effects on judged speech intelligibility and sound quality
M Keshavarzi, T Goehring, J Zakis, RE Turner, BCJ Moore
Trends in hearing 22, 2331216518770964, 2018
Atypical delta-band phase consistency and atypical preferred phase in children with dyslexia during neural entrainment to rhythmic audio-visual speech
M Keshavarzi, K Mandke, A Macfarlane, L Parvez, F Gabrielczyk, ...
NeuroImage: Clinical 35, 103054, 2022
A new method for detection of complex pulse repetition interval modulations
M Keshavarzi, AM Pezeshk, F Farzaneh
2012 IEEE 11th International Conference on Signal Processing 3, 1705-1709, 2012
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
S Gibbon, A Attaheri, ÁN Choisdealbha, S Rocha, P Brusini, N Mead, ...
Brain and Language 220, 104968, 2021
Comparison of effects on subjective intelligibility and quality of speech in babble for two algorithms: A deep recurrent neural network and spectral subtraction
M Keshavarzi, T Goehring, RE Turner, BCJ Moore
The Journal of the Acoustical Society of America 145 (3), 1493-1503, 2019
A simple geometrical approach for deinterleaving radar pulse trains
M Keshavarzi, AM Pezeshk
2016 UKSim-AMSS 18th International Conference on Computer Modelling and …, 2016
Detection of generalized-roughness bearing fault using statistical-time indices of instantaneous frequency of motor voltage space vector
F Dalvand, M Keshavarzi, A Kalantar, A Cheraghdar
2015 23rd Iranian Conference on Electrical Engineering, 1516-1521, 2015
Transcranial alternating current stimulation with the theta-band portion of the temporally-aligned speech envelope improves speech-in-noise comprehension
M Keshavarzi, T Reichenbach
Frontiers in human neuroscience 14, 187, 2020
Cortical tracking of a background speaker modulates the comprehension of a foreground speech signal
M Keshavarzi, E Varano, T Reichenbach
Journal of Neuroscience 41 (23), 5093-5101, 2021
Decoding of speech information using EEG in children with dyslexia: Less accurate low-frequency representations of speech, not “Noisy” representations
M Keshavarzi, K Mandke, A Macfarlane, L Parvez, F Gabrielczyk, ...
Brain and language 235, 105198, 2022
Transient noise reduction using a deep recurrent neural network: Effects on subjective speech intelligibility and listening comfort
M Keshavarzi, T Reichenbach, BCJ Moore
Trends in Hearing 25, 23312165211041475, 2021
A novel method of deinterleaving pulse repetition interval modulated sparse sequences in noisy environments
M Keshavarzi, D Amiri, AM Pezeshk, F Farzaneh
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2014
Evaluation of a multi-channel algorithm for reducing transient sounds
M Keshavarzi, T Baer, BCJ Moore
International Journal of Audiology 57 (8), 624-631, 2018
Atypical speech production of multisyllabic words by children with developmental dyslexia
M Keshavarzi, G Di Liberto, F Gabrielczyk, A Wilson, A Macfarlane, ...
bioRxiv [Internet], 2022
A Novel Method of Deinterleaving Pulse Repetition Interval Modulated Sparse Sequences in Noisy Environments
K Mahmoud, A Delaram, PA Mansour, F Forouhar
IEICE Transactions on Fundamentals of Electronics, Communications and …, 2014
A simple method for pulse repetition interval estimation and tracking radar pulse trains with complex pulse repetition interval modulations
D Amiri, M Keshavarzi, K Amiri
Advanced Science Letters 19 (8), 2262-2265, 2013
Decoding speech information from EEG data with 4-, 7-and 11-month-old infants: Using convolutional neural network, mutual information-based and backward linear models
M Keshavarzi, ÁN Choisdealbha, A Attaheri, S Rocha, P Brusini, ...
Journal of neuroscience methods 403, 110036, 2024
Atypical beta-band effects in children with dyslexia in response to rhythmic audio-visual speech
M Keshavarzi, K Mandke, A Macfarlane, L Parvez, F Gabrielczyk, ...
Clinical Neurophysiology, 2024
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