Meisam Arjmandi
Cited by
Cited by
5G Overview: Key Technologies
F Hu, MK Arjmandi
Opportunities in 5G networks: A research and development perspective, 19-32, 2016
An optimum algorithm in pathological voice quality assessment using wavelet-packet-based features, linear discriminant analysis and support vector machine
MK Arjmandi, M Pooyan
Biomedical signal processing and control 7 (1), 3-19, 2012
Identification of voice disorders using long-time features and support vector machine with different feature reduction methods
MK Arjmandi, M Pooyan, M Mikaili, M Vali, A Moqarehzadeh
Journal of Voice 25 (6), e275-e289, 2011
An efficient voice pathology classification scheme based on applying multi-layer linear discriminant analysis to wavelet packet-based features
A Akbari, MK Arjmandi
Biomedical Signal Processing and Control 10, 209-223, 2014
Audio steganalysis based on reversed psychoacoustic model of human hearing
H Ghasemzadeh, MT Khass, MK Arjmandi
Digital signal processing 51, 133-141, 2016
Detection of vocal disorders based on phase space parameters and Lyapunov spectrum
H Ghasemzadeh, MT Khass, MK Arjmandi, M Pooyan
Biomedical Signal Processing and Control 22, 135-145, 2015
Circumspection in using automated measures: Talker gender and addressee affect error rates for adult speech detection in the Language ENvironment Analysis (LENA) system
M Lehet, MK Arjmandi, D Houston, L Dilley
Behavior research methods 53, 113-138, 2021
Individual differences in mothers' spontaneous infant-directed speech predict language attainment in children with cochlear implants
L Dilley, M Lehet, EA Wieland, MK Arjmandi, M Kondaurova, Y Wang, ...
Journal of Speech, Language, and Hearing Research, 2020
Employing linear prediction residual signal of wavelet sub-bands in automatic detection of laryngeal pathology
A Akbari, MK Arjmandi
Biomedical Signal Processing and Control 18, 293-302, 2015
Universal audio steganalysis based on calibration and reversed frequency resolution of human auditory system
H Ghasemzadeh, M Khalil Arjmandi
IET Signal Processing 11 (8), 916-922, 2017
Reversed-Mel cepstrum based audio steganalysis
H Ghasemzadeh, MK Arjmandi
2014 4th International conference on computer and knowledge engineering …, 2014
Voice disorders identification based on different feature reduction methodologies and support vector machine
MK Arjmandi, M Pooyan, H Mohammadnejad, M Vali
2010 18th Iranian Conference on Electrical Engineering, 45-49, 2010
Variability in quantity and quality of early linguistic experience in children with cochlear implants: Evidence from analysis of natural auditory environments
MK Arjmandi, D Houston, LC Dilley
Ear and Hearing 43 (2), 685-698, 2022
The relationship between impedance, programming and word recognition in a large clinical dataset of cochlear implant recipients
B Caswell-Midwinter, EM Doney, MK Arjmandi, KN Jahn, BS Herrmann, ...
Trends in Hearing 26, 23312165211060983, 2022
Estimating the reduced benefit of infant-directed speech in cochlear implant-related speech processing
M Arjmandi, D Houston, Y Wang, L Dilley
Neuroscience research 171, 49-61, 2021
Toward optimum quantification of pathology-induced noises: An investigation of information missed by human auditory system
H Ghasemzadeh, MK Arjmandi
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 519-528, 2019
Optimum solution and evaluation of rectangular jigsaw puzzles based on branch and bound method and combinatorial accuracy
H Ghasemzadeh, MK Arjmandi
Multimedia Tools and Applications, 1–25, 2017
Single-channel focused thresholds relate to vowel identification in pediatric and adult cochlear implant listeners
MK Arjmandi, KN Jahn, JG Arenberg
Trends in Hearing 26, 23312165221095364, 2022
Fidelity of automatic speech processing for adult speech classifications using the Language ENvironment Analysis (LENA) system
M Lehet, MK Arjmandi, LC Dilley, S Roy, D Houston
Proceedings of Interspeech, 3-7, 2018
Spectro-temporal cues for perceptual recovery of reduced syllables from continuous, casual speech
L Dilley, MK Arjmandi, Z Ireland
The Journal of the Acoustical Society of America 141 (5), 3700-3700, 2017
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