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Noah H. Silbert

Indiana University, Bloomington, Bloomington, IN, United States 
Phonetics, Speech Perception, Perceptual Modeling
"Noah Silbert"
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Kenneth J. de Jong grad student 2009 Indiana University
 (Integration of phonological information in obstruent consonant identification.)
James Townsend post-doc Indiana University (Neurotree)
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VanDam M, Silbert NH. (2016) Fidelity of Automatic Speech Processing for Adult and Child Talker Classifications. Plos One. 11: e0160588
VanDam M, Oller DK, Ambrose SE, et al. (2015) Automated Vocal Analysis of Children With Hearing Loss and Their Typical and Atypical Peers. Ear and Hearing. 36: e146-52
Silbert N, De Jong K, Regier K, et al. (2015) The mapping between phonological categories and acoustic cues in the production of English obstruents Journal of the Acoustical Society of America. 138: 3834-3845
Golonka E, Bowles A, Silbert N, et al. (2015) The role of context and cognitive effort in vocabulary learning: A study of intermediate-level learners of Arabic Modern Language Journal. 99: 19-39
Silbert NH, Smith BK, Jackson SR, et al. (2015) Non-native phonemic discrimination, phonological short term memory, and word learning Journal of Phonetics. 50: 99-119
Thomas RD, Altieri NA, Silbert NH, et al. (2015) Multidimensional signal detection decision models of the uncertainty task: Application to face perception Journal of Mathematical Psychology. 66: 16-33
Thomas RD, Silbert NH. (2014) Technical clarification to Silbert and Thomas (2013): "decisional separability, model identification, and statistical inference in the general recognition theory framework". Psychonomic Bulletin & Review. 21: 574-5
Silbert NH, Thomas RD. (2014) Optimal response selection and decisional separability in Gaussian general recognition theory Journal of Mathematical Psychology. 60: 72-81
Landy D, Silbert N, Goldin A. (2013) Estimating large numbers. Cognitive Science. 37: 775-99
Silbert NH, Thomas RD. (2013) Decisional separability, model identification, and statistical inference in the general recognition theory framework. Psychonomic Bulletin & Review. 20: 1-20
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