
Lexical Feedback in the Time-Invariant String Kernel (TISK) Model of Spoken Word Recognition
By: James S. Magnuson, Heejo You and Thomas Hannagan
References
- Allopenna, P. D., Magnuson, J. S., & Tanenhaus, M. K. (1998). Tracking the time course of spoken word recognition using eye movements: Evidence for continuous mapping models. Journal of Memory and Language, 38, 419–439. DOI: 10.1006/jmla.1997.2558
- Azevedo, F. A. C., Carvalho, L. R. B., Grinberg, L. T., Farfel, J. M., Ferretti, R. E. L., Leite, R. E. P., Filho, W. J., Lent, R., & Herculano-Houzel, S. (2009). Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. Journal of Comparative Neurology, 513(5), 532–541. DOI: 10.1002/cne.21974
- Cole, R. A., Jakimik, J., & Cooper, W. E. (1980). Segmenting speech into words. Journal of the Acoustical Society of America, 67(4), 1323–1332. DOI: 10.1121/1.384185
- Dandurand, F., Hannagan, T., & Grainger, J. (2013). Computational models of location-invariant orthographic processing. Connection Science, 25, 1–26. DOI: 10.1080/09540091.2013.801934
- Dehaene, S., Cohen L., Sigman, M., & Vinckier, F. (2005). The neural code for written words: A proposal. Trends in Cognitive Sciences, 9, 335–341. DOI: 10.1016/j.tics.2005.05.004
- Dell, G. S., Chang, F., & Griffin, Z. M. (1999). Connectionist models of language production: Lexical access and grammatical encoding. Cognitive Science, 23(4), 517–542. DOI: 10.1207/s15516709cog2304_6
- Elman, J. L. (1990). Finding structure in time. Cognitive science, 14(2), 179–211. DOI: 10.1207/s15516709cog1402_1
- Ganong, W. F. (1980). Phonetic categorization in auditory word perception. Journal of Experimental Psychology: Human Perception and Performance, 6(1), 110–125. DOI: 10.1037//0096-1523.6.1.110
- Gow, D. (2003). Feature parsing: Feature cue mapping in spoken word recognition. Perception & Psychophysics, 65, 575–590. DOI: 10.3758/BF03194584
- Grainger, J., & van Heuven, W. (2003).
Modeling letter position coding in printed word perception . In P. Bonin (Ed.), The Mental Lexicon. New York: Nova Science. - Grossberg, S., & Kazerounian, S. (2011). Laminar cortical dynamics of conscious speech perception: Neural model of phonemic restoration using subsequent context in noise. J. Acoust. Soc. America, 130, 440–460. DOI: 10.1121/1.3589258
- Grossberg, S., & Kazerounian, S. (2016). Phoneme restoration and empirical coverage of Interactive Activation and Adaptive Resonance models of human speech processing. J. Acoust. Soc. America, 140, 1130–1153. DOI: 10.1121/1.4946760
- Hannagan, T., & Grainger, J. (2012). Protein analysis meets visual word recognition: a case for String kernels in the brain. Cognitive Science, 36, 575–606. DOI: 10.1111/j.1551-6709.2012.01236.x
- Hannagan, T., Magnuson, J. S. & Grainger, J. (2013). Spoken word recognition without a TRACE. Frontiers in Psychology, 4,
563 . DOI: 10.3389/fpsyg.2013.00563 - Lehiste, I. (1960). An acoustic-phonetic study of internal open juncture. Phonetica, 5(Suppl.), 5–54. DOI: 10.1159/000258062
- Leslie, C., & Kuang, R. (2004). Fast string kernels using inexact matching for protein sequences. Journal of Machine Learning Research, 5, 1435–1455.
- Lodhi, H., Saunders, C., Shawe-Taylor, J., Cristianini, N., & Watkins, C. (2002). Text classification using string kernels. Journal of Machine Learning Research, 2, 419–444.
- Luce, P. A., & Pisoni, D. B. (1998). Recognizing spoken words: The neighborhood activation model. Ear and Hearing, 19(1), 1–36. DOI: 10.1097/00003446-199802000-00001
- Luce, R. D. (1959). On the possible psychophysical laws. Psychological Review, 66(2), 81–95. DOI: 10.1037/h0043178
- Luthra, S., Crinnion, A. M., Saltzman, D., & Magnuson, J. S. (in press). Do they know it’s Christmash? Lexical knowledge directly impacts speech perception. Cognitive Science.
- Luthra, S., Peraza-Santiago, G., Beeson, K., Saltzman, D., Crinnion, A. M., & Magnuson, J. S. (2021). Robust lexically-mediated compensation for coarticulation: Christmash time is here again. Cognitive Science, 45,
e12962 . DOI: 10.1111/cogs.12962 - Magnuson, J. S. (in preparation). The challenge of sequence encoding in modeling human spoken word recognition.
- Magnuson, J. S. (2015). Phoneme restoration and empirical coverage of interactive activation and adaptive resonance models of human speech processing. J. Acoust. Soc. America, 137(3), 1481–1492. DOI: 10.1121/1.4904543
- Magnuson, J. S. (2018a). Simple_network_diagram. figshare. DOI: 10.6084/m9.figshare.5852532.v1
- Magnuson, J. S. (2018b). TRACE schematic. figshare. DOI: 10.6084/m9.figshare.5852556.v1
- Magnuson, J. S., & Crinnion, A. M. (2022). Spoken word recognition. In A. Papafragou, J. C. Trueswell, & L. R. Gleitman (Eds.), The Oxford Handbook of the Mental Lexicon, pp. 461–490. DOI: 10.1093/oxfordhb/9780198845003.013.23
- Magnuson, J. S., Crinnion, A. M., Luthra, S., Gaston, P., & Grubb, S. (2024). Contra assertions, feedback improves word recognition: How feedback and lateral inhibition sharpen signals over noise. Cognition,
242 . DOI: 10.1016/j.cognition.2023.105661 - Magnuson, J. S. & Luthra, S. (under review). Simple recurrent networks are interactive.
- Magnuson, J. S., Mirman, D., & Harris, H. D. (2012).
Computational models of spoken word recognition . In M. Spivey, K. McRae, & M. Joanisse (Eds.), The Cambridge Handbook of Psycholinguistics, (pp. 76–103). Cambridge University Press. DOI: 10.1017/CBO9781139029377.006 - Magnuson, J. S., Mirman, D., Luthra, S., Strauss, T., & Harris, H. (2018). Interaction in spoken word recognition models: Feedback helps. Frontiers in Psychology, 9,
369 . DOI: 10.3389/fpsyg.2018.00369 - McClelland, J. L., & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18, 1–86. DOI: 10.1016/0010-0285(86)90015-0
- McClelland, J. L., & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: I. An account of basic findings. Psychological review, 88(5), 375–407. DOI: 10.1037//0033-295X.88.5.375
- McClelland, J. L., & Rumelhart, D. E. (1989). Explorations in parallel distributed processing: A handbook of models, programs, and exercises. Cambridge, MA, USA: MIT Press. DOI: 10.7551/mitpress/5617.001.0001
- McQueen, J. M., Jesse, A., & Mitterer, H. (2023), Lexically Mediated Compensation for Coarticulation Still as Elusive as a White Christmash. Cognitive Science, 47,
e13342 . DOI: 10.1111/cogs.13342 - Norris, D. (1994). Shortlist: A connectionist model of continuous speech recognition. Cognition, 52(3), 189–234. DOI: 10.1016/0010-0277(94)90043-4
- Norris, D., & McQueen, J. M. (2008). Shortlist B: a Bayesian model of continuous speech recognition. Psychological Review, 115(2), 357–395. DOI: 10.1037/0033-295X.115.2.357
- Norris, D., McQueen, J. M., & Cutler, A. (2000). Merging information in speech recognition: Feedback is never necessary. Behavioral and Brain Sciences, 23(03), 299–325. DOI: 10.1017/S0140525X00003241
- Norris, D., McQueen, J. M., & Cutler, A. (2016). Prediction, Bayesian inference and feedback in speech recognition. Language, Cognition and Neuroscience, 31(1), 4–18. DOI: 10.1080/23273798.2015.1081703
- Picone, J., Goudie-Marshall, K. Doddington, G., & Fisher, W. (1986). Automatic text alignment for speech system evaluation. IEEE Transactions on Acoustics, Speech, and Signal Processing, 34, 780–784. DOI: 10.1109/TASSP.1986.1164912
- Samuel, A. (1981a). The role of bottom-up confirmation in the phonemic restoration illusion. Journal of Experimental Psychology: Human Perception and Performance, 7, 1124–1131. DOI: 10.1037//0096-1523.7.5.1124
- Samuel, A. (1981b). Phonemic restoration: Insights from a new methodology. Journal of Experimental Psychology: Human Perception and Performance, 4, 474–494. DOI: 10.1037//0096-3445.110.4.474
- Samuel, A. G. (1996). Does lexical information influence the perceptual restoration of phonemes? Journal of Experimental Psychology: General, 125, 28–51. DOI: 10.1037//0096-3445.125.1.28
- Samuel, A. G. (1997). Lexical activation produces potent phonemic percepts. Cognitive Psychology, 32, 97–127. DOI: 10.1006/cogp.1997.0646
- Shawe-Taylor, J. (1993). Symmetries and discriminability in feedforward network architectures. IEEE Transactions in Neural Networks, 4, 816–826. DOI: 10.1109/72.248459
- Warren, R. M. (1970). Perceptual restoration of missing speech sounds. Science, 167(3917), 392–393. DOI: 10.1126/science.167.3917.392
- Whitney, C. (2001). How the brain encodes the order of letters in a printed word: The SERIOL model and selective literature review. Psychonomic Bulletin & Review, 8, 221–243. DOI: 10.3758/BF03196158
- You, H. & Magnuson, J. S. (2018). TISK 1.0: An easy-to-use Python implementation of the Time Invariant String Kernel model of spoken word recognition. Behavior Research Methods. DOI: 10.3390/e20070526
DOI: https://doi.org/10.5334/joc.362 | Journal eISSN: 2514-4820
Language: English
Submitted on: Dec 22, 2023
Accepted on: Apr 3, 2024
Published on: Apr 26, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2024 James S. Magnuson, Heejo You, Thomas Hannagan, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.