| 5G Overview: Key Technologies F Hu, MK Arjmandi Opportunities in 5G networks: A research and development perspective, 19-32, 2016 | 157* | 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 | 125 | 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 | 92 | 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 | 57 | 2014 |
| Audio steganalysis based on reversed psychoacoustic model of human hearing H Ghasemzadeh, MT Khass, MK Arjmandi Digital signal processing 51, 133-141, 2016 | 47 | 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 | 42 | 2015 |
| 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 | 33 | 2020 |
| 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 | 30 | 2021 |
| 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 | 27 | 2017 |
| 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 | 27 | 2015 |
| Reversed-Mel cepstrum based audio steganalysis H Ghasemzadeh, MK Arjmandi 2014 4th International conference on computer and knowledge engineering …, 2014 | 20 | 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 | 16 | 2010 |
| 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 | 14 | 2022 |
| 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 | 12 | 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 | 8 | 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 | 7 | 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 | 7 | 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 | 6 | 2022 |
| 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 | 5 | 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_Supplement), 3700-3700, 2017 | 5 | 2017 |
Laura DilleyAssociate Professor, Michigan State University在 msu.edu 的电子邮件经过验证
