Predicting mild cognitive impairment from spontaneous spoken utterances M Asgari, J Kaye, H Dodge Alzheimer's & Dementia: Translational Research & Clinical Interventions 3 (2 …, 2017 | 160 | 2017 |
Fully automated assessment of the severity of Parkinson's disease from speech A Bayestehtashk, M Asgari, I Shafran, J McNames Computer speech & language 29 (1), 172-185, 2015 | 128 | 2015 |
Predicting severity of Parkinson's disease from speech M Asgari, I Shafran 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010 | 66 | 2010 |
Robust and accurate features for detecting and diagnosing autism spectrum disorders M Asgari, A Bayestehtashk, I Shafran Interspeech 2013, 191, 2013 | 58 | 2013 |
Inferring clinical depression from speech and spoken utterances M Asgari, I Shafran, LB Sheeber 2014 IEEE international workshop on Machine Learning for Signal Processing …, 2014 | 52 | 2014 |
Social markers of mild cognitive impairment: Proportion of word counts in free conversational speech H H Dodge, N Mattek, M Gregor, M Bowman, A Seelye, O Ybarra, ... Current Alzheimer Research 12 (6), 513-519, 2015 | 44 | 2015 |
Automatic analysis of pronunciations for children with speech sound disorders S Dudy, S Bedrick, M Asgari, A Kain Computer speech & language 50, 62-84, 2018 | 42 | 2018 |
Extracting cues from speech for predicting severity of Parkinson's disease M Asgari, I Shafran 2010 IEEE international workshop on machine learning for signal processing …, 2010 | 42 | 2010 |
Improving asr systems for children with autism and language impairment using domain-focused dnn transfer techniques R Gale, L Chen, J Dolata, J Van Santen, M Asgari Interspeech 2019, 11, 2019 | 38 | 2019 |
Pronunciation analysis for children with speech sound disorders S Dudy, M Asgari, A Kain 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 26 | 2015 |
Automatic measurement of affective valence and arousal in speech M Asgari, G Kiss, J Van Santen, I Shafran, X Song 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 24 | 2014 |
Improving the assessment of mild cognitive impairment in advanced age with a novel multi-feature automated speech and language analysis of verbal fluency L Chen, M Asgari, R Gale, K Wild, H Dodge, J Kaye Frontiers in Psychology 11, 494917, 2020 | 19 | 2020 |
Voice activity detection using entropy in spectrum domain M Asgari, A Sayadian, M Farhadloo, E abouie Mehrizi 2008 Australasian Telecommunication Networks and Applications Conference …, 2008 | 19 | 2008 |
Quantifying voice characteristics for detecting autism M Asgari, L Chen, E Fombonne Frontiers in Psychology 12, 665096, 2021 | 15 | 2021 |
Combining voice and language features improves automated autism detection H MacFarlane, AC Salem, L Chen, M Asgari, E Fombonne Autism Research 15 (7), 1288-1300, 2022 | 14 | 2022 |
Topic-based measures of conversation for detecting mild cognitive impairment L Chen, HH Dodge, M Asgari Proceedings of the conference. Association for Computational Linguistics …, 2020 | 14 | 2020 |
Context-aware fall detection using inertial sensors and time-of-flight transceivers MC Shastry, M Asgari, EA Wan, J Leitschuh, N Preiser, J Folsom, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 13 | 2016 |
Improving the accuracy and the robustness of harmonic model for pitch estimation. M Asgari, I Shafran Interspeech, 1936-1940, 2013 | 12 | 2013 |
Improvements to harmonic model for extracting better speech features in clinical applications M Asgari, I Shafran Computer Speech & Language 47, 298-313, 2018 | 10 | 2018 |
Robust detection of voiced segments in samples of everyday conversations using unsupervised hmms M Asgari, I Shafran, A Bayestehtashk 2012 IEEE spoken language technology workshop (SLT), 438-442, 2012 | 9 | 2012 |