Parents

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Louis D. Braida grad student 1982 MIT (Neurotree)
 (A comparative evaluation of different processing techniques for the communication of speech through the tactile sense)

Children

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John H. L. Hansen grad student 1983-1988 Georgia Tech (E-Tree)
Trevor R. Trinkaus grad student 2000 Georgia Tech
Jon A. Arrowood grad student 2003 Georgia Tech
Adriane S. Durey grad student 2003 Georgia Tech
Elliot Moore grad student 2003 Georgia Tech
Greg Rohling grad student 2004 Georgia Tech
Brett A. Matthews grad student 2012 Georgia Tech
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Publications

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Jones RM, Plesa Skwerer D, Pawar R, et al. (2019) How effective is LENA in detecting speech vocalizations and language produced by children and adolescents with ASD in different contexts? Autism Research : Official Journal of the International Society For Autism Research
Rustamov S, Mustafayev E, Clements MA. (2018) Context Analysis of Customer Requests using a Hybrid Adaptive Neuro Fuzzy Inference System and Hidden Markov Models in the Natural Language Call Routing Problem Open Engineering. 8: 61-68
Clements MA, Pawar R, Caulley D, et al. (2017) Automated extraction of information from Language ENvironment Analysis (LENA) home recordings of older children with autism The Journal of the Acoustical Society of America. 141: 3508-3508
Kim JC, Clements MA. (2015) Multimodal affect classification at various temporal lengths Ieee Transactions On Affective Computing. 6: 371-384
Kim JC, Rao H, Clements MA. (2014) Speech intelligibility estimation using multi-resolution spectral features for speakers undergoing cancer treatment. The Journal of the Acoustical Society of America. 136: EL315-21
Matthews BA, Clements MA. (2014) Spike sorting by joint probabilistic modeling of neural spike trains and waveforms. Computational Intelligence and Neuroscience. 2014: 643059
Sanders TH, Clements MA, Wichmann T. (2013) Parkinsonism-related features of neuronal discharge in primates. Journal of Neurophysiology. 110: 720-31
Kim JC, Rao H, Clements MA. (2011) Investigating the use of formant based features for detection of affective dimensions in speech Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6975: 369-377
Cheyne HA, Kalgaonkar K, Clements M, et al. (2009) Talker-to-listener distance effects on speech production and perception. The Journal of the Acoustical Society of America. 126: 2052-60
Moore E, Clements MA, Peifer JW, et al. (2008) Critical analysis of the impact of glottal features in the classification of clinical depression in speech. Ieee Transactions On Bio-Medical Engineering. 55: 96-107
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