meysam asgari
meysam asgari
Associate Professor, Center for Spoken Language Understanding (CSLU), Oregon Health & Science
Verified email at - Homepage
Cited by
Cited by
Predicting mild cognitive impairment from spontaneous spoken utterances
M Asgari, J Kaye, H Dodge
Alzheimer's & Dementia: Translational Research & Clinical Interventions 3 (2 …, 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
Predicting severity of Parkinson's disease from speech
M Asgari, I Shafran
2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010
Robust and accurate features for detecting and diagnosing autism spectrum disorders
M Asgari, A Bayestehtashk, I Shafran
Interspeech 2013, 191, 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
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
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
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
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
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
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
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
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
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
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
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
Quantifying voice characteristics for detecting autism
M Asgari, L Chen, E Fombonne
Frontiers in Psychology 12, 665096, 2021
Improving the accuracy and the robustness of harmonic model for pitch estimation.
M Asgari, I Shafran
Interspeech, 1936-1940, 2013
Improvements to harmonic model for extracting better speech features in clinical applications
M Asgari, I Shafran
Computer Speech & Language 47, 298-313, 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
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