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Abeer A. H. Alwan

Affiliations: 
Electrical Engineering University of California, Los Angeles, Los Angeles, CA 
Area:
Digital speech processing, noise robust speech recognition, models of speech production and perception
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"Abeer Alwan"
Bio:

Alwan, Abeer Abdul-Hussain Acoustic and perceptual correlates of pharyngeal and uvular consonants Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1986.
Alwan, Abeer Abdul-Hussain. Modeling speech perception in noise : the stop consonants as a case study Technical report (Massachusetts Institute of Technology. Research Laboratory of Electronics) ; 569.
https://books.google.com/books?id=KqAvAQAAIAAJ

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Parents

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Kenneth N. Stevens grad student 1985-1991 MIT (Neurotree)
 (Modeling speech perception in noise : The stop consonants as a case study)

Children

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Shrikanth S. Narayanan grad student 1995 UCLA
James J. Hant grad student 2000 UCLA
Qifeng Zhu grad student 2001 UCLA
Alexis P. Bernard grad student 2002 UCLA
Brian C. Gabelman grad student 2003 UCLA
Jintao Jiang grad student 2003 UCLA
Xiao Hu grad student 2004 UCLA
Xiaodong Cui grad student 2005 UCLA
Markus Iseli grad student 2007 UCLA
Sankaran Panchapagesan grad student 2008 UCLA
Jianxia Xue grad student 2008 UCLA
Hong You grad student 2009 UCLA
Bengt J. Borgstrom grad student 2010 UCLA
Yen-Liang Shue grad student 2010 UCLA
Shizhen Wang grad student 2010 UCLA
Wei Chu grad student 2012 UCLA
Harish Arsikere grad student 2014 UCLA
Gang Chen grad student 2014 UCLA
Lee N. Tan grad student 2014 UCLA
Soo Jin Park grad student 2013-2019 UCLA

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Publications

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Afshan A, Kreiman J, Alwan A. (2022) Speaker discrimination performance for "easy" versus "hard" voices in style-matched and -mismatched speech. The Journal of the Acoustical Society of America. 151: 1393
Yeung G, Lulich SM, Guo J, et al. (2018) Subglottal resonances of American English speaking children. The Journal of the Acoustical Society of America. 144: 3437
Park SJ, Yeung G, Vesselinova N, et al. (2018) Towards understanding speaker discrimination abilities in humans and machines for text-independent short utterances of different speech styles. The Journal of the Acoustical Society of America. 144: 375
Guo J, Xu N, Qian K, et al. (2018) Deep neural network based i-vector mapping for speaker verification using short utterances Speech Communication. 105: 92-102
Guo J, Yang R, Arsikere H, et al. (2017) Robust speaker identification via fusion of subglottal resonances and cepstral features. The Journal of the Acoustical Society of America. 141: EL420
Kaewtip K, Alwan A, Taylor C. (2017) Robust Hidden Markov Models for limited training data for birdsong phrase classification The Journal of the Acoustical Society of America. 141: 3725-3726
Kaewtip K, Alwan A. (2017) A flexible discriminative approach to automatic phone and broad phonetic group classification The Journal of the Acoustical Society of America. 141: 3468-3468
Kaewtip K, Alwan A, O'Reilly C, et al. (2016) A robust automatic birdsong phrase classification: A template-based approach. The Journal of the Acoustical Society of America. 140: 3691
Yeung G, Lulich SM, Toutios A, et al. (2016) Analysis of children’s high front vowel area function using three-dimensional ultrasound imaging The Journal of the Acoustical Society of America. 140: 3448-3448
Kreiman J, Garellek M, Chen G, et al. (2015) Perceptual evaluation of voice source models. The Journal of the Acoustical Society of America. 138: 1-10
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