Language Perception Laboratory

Recent Manuscripts and Publications

Thomas, A. J, & Pitt, M. A. (submitted). The architecture underlying lexical influences on perceptual grouping. Supplement mentioned in Footnote 1.

Aranovich, G. J., Cavagnaro, D., Pitt, M. A., Myung, J. I., Matthews, C. A. (2017). A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders. Journal of Psychiatric Research, 90, 126-132. 10.1016/j.jpsychires.2017.02.017

Armstrong, B.C., Dumay, N., Kim, W., & Pitt, M.A. (2017). Generalization from newly learned words reveals structural properties of the human reading system. Journal of Experimental Psychology: General. 146(2), 227-249. DOI:10.1037/xge0000257

Baese-Berk, M, Dilley, L.C., Schmidt, S., Morrill, T.H., & Pitt, M. A. (2016). Revisiting Neil Armstrongs Moon-Landing Quote: Implications for Speech Perception, Function Word Reduction, and Acoustic Ambiguity. PLOS ONE, 11. 10.1371/journal.pone.0155975

Cavagnaro, D. R., Aranovich, G. J., McClure, S. M., Pitt, M. A., & Myung, J. I. (2016). On the functional form of temporal discounting: An optimized adaptive test. Journal of Risk and Uncertainty, 52, 233-254.

Gu, H., Kim, W., Hou, F., Lesmes, L., Pitt, M. A., Lu, Z.-L., & Myung, J. I. (2016). A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function. Journal of Vision, 16(6), 1-17.

Hou, F., Lesmes, L., Kim, W., Gu, H., Pitt, M. A., Myung, J. I., & Lu, Z.-L. (2016). Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes. Journal of Vision, 16(6), 18-29.

Kim, W., Pitt, M. A., Lu, Z.-L., & Myung, J. I. (2016). Planning beyond the next trial in adaptive experiments: A dynamic programming approach. Cognitive Science. DOI:10.1111/cogs.12467

Myung, J.I., Cavagnaro, D.R., & Pitt, M.A. (2016). Model evaluation and selection. In W.H. Batchelder et al (Eds.) New Handbook of Mathematical Psychology: Vol 1: Foundations and Methodology,(pp. 552-598). Cambridge, Cambridge

Pitt, M.A., Szostak, C., & Dilley, L. (2016). Rate-dependent speech processing can be speech-specific: Evidence from the perceptual disappearance of words under changes in context speech rate. Attention, Perception & Psychophysics. This file contains the additional data mentioned in Footnote 1.

Bhat, J., Miller, L. M., Pitt, M. A., & Shahin, A. J. (2015). Putative mechanisms mediating tolerance for audiovisual stimulus onset asynchrony. Journal of Neurophysiology,, jn.00200.2014. doi:10.1152/jn.00200.2014

Baese-Berk, M., Heffner, C.C., Dilley, L.C., Pitt, M.A., Morrill, T.H., & McAuley, J.D. (2014). Long-term temporal tracking of speech rate affects spoken-word recognition. Psychological Science, 25, 1546-1553.

Bhat, J., Pitt, M. A., & Shahin, A. (2014). Visual context due to speech-reading suppresses the auditory response to acoustic interruptions in speech. Frontiers in Neuroscience, 8, 173. doi:10.3389/fnins.2014.00173

Kim, W., Pitt, M. A., Lu, Z.-L., Steyvers, M., & Myung, J. I. (2014). A hierarchical adaptive approach to optimal experimental design. Neural Computation, 26, 2465-2492.

Montenegro, M., Myung, J. I., & Pitt, M. A. (2014). Analytic expressoins for the REM model of recognition memory. Journal of Mathematical Psychology, 60, 23-28. doi:10.1016/j.jmp.2014.05.003

Morrill, T. H., Dilley, L. C., McAuley, J. D., & Pitt, M. A. (2014). Distal rhythm influences whether or not listeners hear a word in continuous speech: Support for a perceptual grouping hypothesis. Cognition, 131, 69-74. doi:10.1016/j.cognition.2013.12.006

Szostak, C., & Pitt, M.A. (2014). The influence of amplitude envelope information on resolving lexically ambiguous words.JASA Express Letters, 136, 249-255. doi:dx.doi.org/10.1121/1.4893331

Cavagnaro, D. R., Pitt, M. A., Gonzalez, R., & Myung, J. I. (2013). Discriminating Among Probability Weighting Functions Using Adaptive Design Optimization. Journal of Risk and Uncertainty, 47, 255-289. doi:10.1007/s11166-013-9179-3

Cavagnaro, D. R., Gonzalez, R., Myung, J. I., & Pitt, M. A. (2013). Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach. Management Science, 59, 358-375. doi:10.1287/mnsc.1120.1558

Heffner, C. C., Dilley, L. C., McAuley, J. D., & Pitt, M. A. (2013). When cues combine: How distal and proximal acoustic cues are integrated in word segmentation. Language and Cognitive Processes, 28, 1275-1302. doi:10.1080/01690965.2012.672229

Kim, W., Pitt, M. A., & Myung, J. I. (2013). How do PDP models learn quasiregularity? Psychological Review, 120, 903-916. doi:10.1037/a0034195.

Myung, J. I., Cavagnaro, D. R.,& Pitt, M. A. (2013). A tutorial on adaptive design optimization. Journal of Mathematical Psychology, 57, 53-67. doi:10.1016/j.jmp.2013.05.005

Pitt, M.A., & Tang, Y. (2013). What should be the data sharing policy of cognitive science. Topics in Cognitive Science, 5, 214-221.

Szostak, C., & Pitt, M.A., (2013). The Prolonged Influence of Subsequent Context on Spoken Word Recognition, Attention, Perception & Psychophysics, 27, 1225-1239. doi:10.3758/s13414-013-0492-3

Shahin, A.J., & Pitt, M.A. (2012). Alpha activity marking word boundaries mediates speech segmentation. European Journal of Neuroscience, 36(12), 3740-3748. doi:10.1111/ejn.12008

Kim, D., Stephens, J. D. W., & Pitt, M. A. (2012). How does context play a part in splitting words apart? Production and perception of word boundaries in casual speech. Journal of Memory and Language, 66(4), 509-529.

Pitt, M. A., & Szostak, C. M. (2012). A lexically biased attentional set compensates for variable speech quality caused by pronunciation variation. Language and Cognitive Processes, 27, 1225-1239. doi:10.1080/01690965.2011.619370

Cavanaro, D.R., Pitt, M.A., & Myung, J.I. (2011). Model Discrimination through Adaptive Experimentation. Psychonomic Bulletin & Review, 18, 204-210.

Pitt, M.A., Dilley, L., & Tat, M. (2011). Exploring the role of exposure frequency in recognizing pronunciation variants. Journal of Phonetics, 39, 304-311. This file contains the additional data mentioned in footnote 4.

Dilley, L., & Pitt, M.A. (2010).Altering context speech rate can cause words to appear and disappear. Psychological Science, 21, 1664-1670.

Myung, J.I., Tang, Y., & Pitt, M.A. (2010). Evaluation and Comparison of Computational Models. In M.L. Johnson (Ed.), Essential Numerical Computer Methods. (pp. 511-527). New York: Elsevier.

Cavanaro, D.R., Myung, J.I., Pitt, M.A. & Kujala, J.V. (2010). Adaptive Design Optimization: A Mutual Information Based Approach to Model Discrimination in Cognitive Science. Neural Computation, 22, 887-905.

Myung, J.I., & Pitt, M.A. (2009). Optimal Experimental Design for Model Discrimination. Psychological Review, 116, 499-518.

Pitt, M.A. (2009). How are pronunciation variants of spoken words recognized? A test of generalization to newly learned words. Journal of Memory and Language, 61, 19-36. This file contains the labeling and RT graphs mentioned in Footnote 5.

Pitt, M.A. (2009). The strength and time course of lexical activation of pronunciation variants. Journal of Experimental Psychology: Human Perception and Performance, 35, 896-910. This file contains the TRACE simulation mentioned in Footnote 2.

Myung, J.I., Tang, Y., & Pitt, M.A. (2009). Evaluation and Comparison of Computational Models. Methods in Enzymology, 287-304.

Pitt, M.A., Myung, J.I., Montenegro, M., & Pooley, J. (2008). Measuring the flexibility of localist connectionist models of speech perception. Cognitive Science, 32, 1285-1303.

Dilley, L., & Pitt, M.A. (2007). A study of regressive place assimilation in spontaneous speech and its implications for spoken word recognition. Jounral of the Acoustical Society of America., 122, 2340-2353.

Myung, J.I., Montenegro, M., & Pitt, M.A. (2007). Analytic expressions for the BCDMEM model of recognition memory Journal of Mathematical Psychology, 51, 198-204.

Myung, J.I., Pitt, M.A., & Navarro, D.J. (2007). Does Response Scaling Cause the Generalized Context Model to Mimic a Prototype Model? Psychonomic Bulletin & Review, 14, 1043-1050.

Pitt, M.A., Dilley, L., Johnson, K., Kiesling, S., Raymond, W., Hume, E. and Fosler-Lussier, E. (2007) Buckeye Corpus of Conversational Speech (2007; Final release) [www.buckeyecorpus.osu.edu] Columbus, OH: Department of Psychology, Ohio State University (Distributor).

Pitt, M.A., Myung, J.I., & Altieri, N. (2007). Modeling the word recognition data of Vitevitch and Luce (1998): Is it ARTful? Psychonomic Bulletin & Review, 14, 442-448.

Myung, J. I., Navarro, D. J. & Pitt, M. A. (2006). Model selection by normalized maximum likelihood. Journal of Mathematical Psychology, 50, 167-179.

Pitt, M.A., Kim, W., Navarro, D.J., & Myung, J.I. (2006). Global model analysis by parameter space partitioning. Psychological Review, 113, 57-83.

Pitt, M.A., & Samuel, A.G. (2006). Word Length and Lexical Activation: Longer is Better. Journal of Experimental Psychology: Human Perception and Performance, 32, 1120-1135. This file contains a description of the replication of Experiment 3 mentioned in Footnote 6.

Dilley, L., Pitt, M.A., & Johnson, K. (2005). Using pronunciation data as a starting point in modeling word recognition. Poster presented at the 46th annual meeting of the Psychonomic Society.

Grunwald, P., Myung, I., & Pitt, M.A. (2005). Advances in Minimum Description Length: Theory and Application. Cambridge, MA: MIT Press.

Pitt, M.A., Johnson, K., Hume, E., Kiesling, S., & Raymond W. (2005). The Buckeye Corpus of Conversational Speech: Labeling Conventions and a Test of Transcriber Reliability. Speech Communication, 45, 89-95.

Navarro, D., Pitt, M.A., & Myung, I. (2004). Assessing the Distinguishability of Models and the Informativeness of Data. Cognitive Psychology, 49, 47-84.

Pitt, M.A., Kim, W., & Myung, I.J. (2003). Flexibility versus Generalizability in Model Selection. Psychonomic Bulletin & Review, 10, 29-44.

Samuel, A.G., & Pitt, M.A. (2003). Lexical activation (and other factors) can mediate compensation for coarticulation. Journal of Memory and Language, 48, 416-434.

Weil, S.A. (2003). The Impact of Perceptual Dissimilarity on the Perception of Foreign Accented Speech. Unpublished Doctoral Dissertation. The Ohio Statet University.

Weil, S.A. (2003). The Impact of Phonetic Dissimilarity on the Perception of Foreign Accented Speech. Poster presented at the 146th Meeting of the Acoustical Society of America, Austin, TX.

Pitt, M.A., & Myung, I.J. (2002). When a good fit can be bad. Trends in Cognitive Science, 6, 421-425. TICS homepage

Pitt, M.A. & Shoaf, L.S. (2002). Revisiting bias effects in word-initial phonological priming.Journal of Experimental Psychology: Human Perception and Performance, 28, 1120-1130. Figures mentioned in Footnote 3.

Shoaf, L.S., & Pitt, M.A. (2002). Does node stability underlie the Verbal Transformation Effect? A Test of Node Structure Theory. Perception & Psychophysics, 64, 795-803.

Pitt, M.A., Myung, I., & Zhang, S. (2002). Toward a method of selecting among computational models of cognition. Psychological Review, 109, 472-491.

Pitt, M.A., & Shoaf, L. (2002). Linking verbal transformations to their causes. Journal of Experimental Psychology: Human Perception and Performance, 28, 150-162. Additional figures. Stim

Weil, S.A. (2002). Comparing Intelligibility of Several Non-Native Accent Classes in Noise. Poster presented at the 7th International Conference on Spoken Language Processing, Denver, CO, September 2002.

Pitt, M.A., & Shoaf, L. (2001). The source of a lexical bias in the Verbal Transformation Effect. Language and Cognitive Processes, 16, 5/6, 715-721.

Weil, S.A. (2001). Foreign Accented Speech: Adaptation and Encoding. Poster presented at the 141st Meeting of the Acoustical Society of America, Chicago, IL.

Weil, S.A. (2001). Foreign Accented Speech: Adaptation and Generalization. Unpublished Master's Thesis. The Ohio State University.

Pitt, M.A. (1998). Phonological processes and the perception of phonotactically illegal consonant clusters. Perception & Psychophysics, 60, 941-951. Figure mentioned in footnote 2 in Experiment 2.

Graduate Study in Psychology









Graduate study in the Language Sciences