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Meisam Arjmandi
Meisam Arjmandi
Harvard Medical School, Massachusetts Eye & Ear
Verified email at meei.harvard.edu
Title
Cited by
Cited by
Year
5G Overview: Key Technologies
F Hu, MK Arjmandi
Opportunities in 5G networks: A research and development perspective, 19-32, 2016
137*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
1032012
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
822011
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
472014
Audio steganalysis based on reversed psychoacoustic model of human hearing
H Ghasemzadeh, MT Khass, MK Arjmandi
Digital signal processing 51, 133-141, 2016
402016
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
332015
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
222015
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
202017
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 (1), 113-138, 2021
162021
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
162020
Reversed-Mel cepstrum based audio steganalysis
H Ghasemzadeh, MK Arjmandi
2014 4th International conference on computer and knowledge engineering …, 2014
152014
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
152010
Investigation of acoustic dimension use in dialect production: machine learning of sonorant sounds for modeling acoustic cues of African American dialect
MK Arjmandi, L Dilley, S Wagner
11th International Conference on Voice Physiology and Biomechanics (ICVPB 2018), 2018
52018
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
52018
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
52017
Glottalization, reduction, and acoustic variability in function words in American English
L Dilley, MK Arjmandi, Z Ireland, C Heffner, M Pitt
The Journal of the Acoustical Society of America 140 (4), 3114-3114, 2016
52016
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
42021
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
42017
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
32022
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
32019
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Articles 1–20