Mahmoud Keshavarzi
Mahmoud Keshavarzi
Postdoctoral Researcher, Department of Psychology, University of Cambridge
Verified email at cam.ac.uk
Title
Cited by
Cited by
Year
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
262019
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
122020
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
122012
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
112015
A simple geometrical approach for deinterleaving radar pulse trains
M Keshavarzi, AM Pezeshk
2016 UKSim-AMSS 18th International Conference on Computer Modelling andá…, 2016
102016
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
82018
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
62019
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 andá…, 2014
52014
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, 2020
22020
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
22013
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
12018
A robust method for recognition of complicated pulse repetition interval modulations
M Keshavarzi, AM Pezeshk, F Farzaneh, D Amiri
IEICE Transactions on Fundamentals of Electronics, Communications andá…, 2013
12013
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
S Gibbon, A Attaheri, ┴N Choisdealbha, S Rocha, P Brusini, N Mead, ...
Brain and Language 220, 104968, 2021
2021
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
S Gibbon, A Attaheri, ┴N Choisdealbha, S Rocha, P Brusini, N Mead, ...
Brain and Language 220, 104968, 2021
2021
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
2021
" Evaluation of a multi-channel algorithm for reducing transient sounds": Corrigendum.
M Keshavarzi, T Baer, BCJ Moore
Taylor & Francis, 2018
2018
A Novel Approach for Recovering 2-valued Independent Sparse Components from Whitened Data in Noisy Environments
M Keshavarzi, S Bayat, S Keshavarzi
2016 UKSim-AMSS 18th International Conference on Computer Modelling andá…, 2016
2016
Erratum: A Robust Method for Recognition of Complicated Pulse Repetition Interval Modulations [IEICE Transactions on Fundamentals of Electronics, Communications and Computerá…
M Keshavarzi, AM Pezeshk, F Farzaneh, D Amiri
IEICE Transactions on Fundamentals of Electronics, Communications andá…, 2013
2013
Transcranial alternating current stimulation with the theta-band portion of the temporally-aligned speech envelope improves speech-in-noise comprehension
J Reichenbach, M Keshavarzi
Frontiers Media, 0
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Articles 1–19