Skip to main content Accessibility help
×
Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-10T08:55:31.541Z Has data issue: false hasContentIssue false

18 - Phonetics and Eye-Tracking

from Section IV - Audition and Perception

Published online by Cambridge University Press:  11 November 2021

Rachael-Anne Knight
Affiliation:
City, University of London
Jane Setter
Affiliation:
University of Reading
Get access

Summary

Eye-tracking has proven to be a fruitful method to investigate how listeners process spoken language in real time. This chapter highlights the contribution of eye-tracking to our understanding of various classical issues in phonetics about the uptake of segmental and suprasegmental information during speech processing, as well as the role of gaze during speech perception. The review introduces the visual-world paradigm and shows how variations of this paradigm can be used to investigate the timing of cue uptake, how speech processing is influenced by phonetic context, how word recognition is affected by connected-speech processes, the use of word-level prosody such as lexical stress, and the role of intonation for reference resolution and sentence comprehension. Importantly, since the eye-tracking record is continuous, it allows us to distinguish early perceptual processes from post-perceptual processes. The chapter also provides a brief note on the most important issues to be considered in teaching and using eye-tracking, including comments on data processing, data analysis and interpretation, as well as suggestions for how to implement eye-tracking experiments.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

18.7 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(4), 419–39.Google Scholar
Alsius, A., Navarra, J., Campbell, R. & Soto-Faraco, S. (2005). Audiovisual integration of speech falters under high attention demands. Current Biology, 15(9), 839–43. https://doi.org/10.1016/j.cub.2005.03.046.Google Scholar
Altmann, G. T. M. (2011). Language can mediate eye movement control within 100 milliseconds, regardless of whether there is anything to move the eyes to. Acta Psychologica, 137(2), 190200. https://doi.org/10.1016/j.actpsy.2010.09.009.CrossRefGoogle ScholarPubMed
Arnold, J. E. (2008). THE BACON not the bacon: How children and adults understand accented and unaccented noun phrases. Cognition, 108(1), 6999. https://doi.org/10.1016/j.cognition.2008.01.001.CrossRefGoogle Scholar
Barr, D. J. (2008). Analyzing ‘visual world’ eyetracking data using multilevel logistic regression. Journal of Memory and Language, 59(4), 457–74. https://doi.org/10.1016/j.jml.2007.09.002.Google Scholar
Beckman, M. & Hirschberg, J. (1994). The ToBI Annotation Conventions, Columbus, OH: Ohio State University.Google Scholar
Beddor, P. S., McGowan, K. B., Boland, J. E., Coetzee, A. W. & Brasher, A. (2013). The time course of perception of coarticulation. Journal of the Acoustical Society of America, 133(4), 2350–66. https://doi.org/10.1121/1.4794366.Google Scholar
Brouwer, S., Mitterer, H. & Huettig, F. (2012). Can hearing puter activate pupil? Phonological competition and the processing of reduced spoken words in spontaneous conversations. The Quarterly Journal of Experimental Psychology, 65(11), 2193–220. https://doi.org/10.1080/17470218.2012.693109.Google Scholar
Brouwer, S., Mitterer, H. & Huettig, F. (2013). Discourse context and the recognition of reduced and canonical spoken words. Applied Psycholinguistics, 34, 519–39. https://doi.org/10.1017/s0142716411000853.Google Scholar
Brown, M., Salverda, A. P., Dilley, L. C. & Tanenhaus, M. K. (2011). Expectations from preceding prosody influence segmentation in online sentence processing. Psychonomic Bulletin & Review, 18(6), 1189–96. https://doi.org/10.3758/s13423-011–0167-9.CrossRefGoogle ScholarPubMed
Brown, M., Salverda, A. P., Dilley, L. C. & Tanenhaus, M. K. (2015a). Metrical expectations from preceding prosody influence perception of lexical stress. Journal of Experimental Psychology: Human Perception and Performance, 41(2), 306–23. https://doi.org/10.1037/a0038689.Google ScholarPubMed
Brown, M., Salverda, A. P., Gunlogson, C. & Tanenhaus, M. K. (2015b). Interpreting prosodic cues in discourse context. Language, Cognition and Neuroscience, 30(1–2), 149–66. https://doi.org/10.1080/01690965.2013.862285.Google Scholar
Brown-Schmidt, S. & Toscano, J. C. (2017). Gradient acoustic information induces long-lasting referential uncertainty in short discourses. Language, Cognition and Neuroscience, 32(10), 1211–28. https://doi.org/10.1080/23273798.2017.1325508.Google Scholar
Chen, A., den Os, E. & de Ruiter, J. P. (2007). Pitch accent type matters for online processing of information status: Evidence from natural and synthetic speech. The Linguistic Review, 24(2–3), 317–44. https://doi.org/10.1515/TLR.2007.012.CrossRefGoogle Scholar
Clayards, M., Niebuhr, O. & Gaskell, M. G. (2015). The time course of auditory and language-specific mechanisms in compensation for sibilant assimilation. Attention, Perception & Psychophysics, 77(1), 311–28. https://doi.org/10.3758/s13414-014–0750-z.Google Scholar
Cooper, R. M. (1974). The control of eye fixation by the meaning of spoken language: A new methodology for the real-time investigation of speech perception, memory, and language processing. Cognitive Psychology, 6(1), 84107. https://doi.org/10.1016/0010–0285(74)90005-X.CrossRefGoogle Scholar
Cutler, A., Weber, A. & Otake, T. (2006). Asymmetric mapping from phonetic to lexical representations in second-language listening. Journal of Phonetics, 34, 269–84. https://doi.org/10.1016/j.wocn.2005.06.002.Google Scholar
Dahan, D. & Tanenhaus, M. K. (2004). Continuous mapping from sound to meaning in spoken-language comprehension: Immediate effects of verb-based thematic constraints. Journal of Experimental Psychology: Learning, Memory, and Cognition, 30, 498513.Google ScholarPubMed
Dahan, D., Tanenhaus, M. K. & Chambers, C. G. (2002). Accent and reference resolution in spoken-language comprehension. Journal of Memory and Language, 47(2), 292314. https://doi.org/10.1016/S0749-596X(02)00001–3.CrossRefGoogle Scholar
Donnelly, S. & Verkuilen, J. (2017). Empirical logit analysis is not logistic regression. Journal of Memory and Language, 94, 2842. https://doi.org/10.1016/j.jml.2016.10.005.Google Scholar
Escudero, P., Hayes-Harb, R. & Mitterer, H. (2008). Novel second-language words and asymmetric lexical access. Journal of Phonetics, 36, 345–60. https://doi.org/10.1016/j.wocn.2007.11.002.CrossRefGoogle Scholar
Gow, D. W. & McMurray, B. (2007). Word recognition and phonology: The case of English coronal place assimilation. In Cole, J. & Hualde, J., eds., Laboratory Phonology 9. New York: Mouton de Gruyter, pp. 173200.Google Scholar
Hanulíková, A. & Weber, A. (2012). Sink positive: Linguistic experience with th substitutions influences nonnative word recognition. Attention, Perception & Psychophysics, 74(3), 613–29. https://doi.org/10.3758/s13414-011–0259-7.CrossRefGoogle ScholarPubMed
Heeren, W. F. L., Bibyk, S. A., Gunlogson, C. & Tanenhaus, M. K. (2015). Asking or telling: Real-time processing of prosodically distinguished questions and statements. Language and Speech, 58(4), 474501. https://doi.org/10.1177/0023830914564452.Google Scholar
Hisanaga, S., Sekiyama, K., Igasaki, T. & Murayama, N. (2016). Language/culture modulates brain and gaze processes in audiovisual speech perception. Scientific Reports, 6, srep35265. https://doi.org/10.1038/srep35265.Google Scholar
Huettig, F. & Altmann, G. T. M. (2007). Visual-shape competition during language-mediated attention is based on lexical input and not modulated by contextual appropriateness. Visual Cognition, 15(8), 9851018. https://doi.org/10.1080/13506280601130875.Google Scholar
Huettig, F. & McQueen, J. M. (2007). The tug of war between phonological, semantic and shape information in language-mediated visual search. Journal of Memory and Language, 57(4), 460–82. https://doi.org/10.1016/j.jml.2007.02.001.CrossRefGoogle Scholar
Huettig, F., Rommers, J. & Meyer, A. S. (2011). Using the visual world paradigm to study language processing: A review and critical evaluation. Acta Psychologica, 137(2), 151–71. https://doi.org/10.1016/j.actpsy.2010.11.003.Google Scholar
Ito, K. & Speer, S. R. (2008). Anticipatory effects of intonation: Eye movements during instructed visual search. Journal of Memory and Language, 58(2), 541–73. https://doi.org/10.1016/j.jml.2007.06.013.Google Scholar
Ito, K. & Speer, S. R. (2011). Semantically-independent but contextually-dependent interpretation of contrastive accent. In Frota, S., Elordieta, G. & Prieto, P., eds., Prosodic Categories: Production, Perception and Comprehension. Dordrecht: Springer, pp. 6992. https://doi.org/10.1007/978–94-007–0137-3_4.Google Scholar
Jesse, A., Poellmann, K. & Kong, Y.-Y. (2017). English listeners use suprasegmental cues to lexical stress early during spoken-word recognition. Journal of Speech, Language, and Hearing Research, 60(1), 190–8. https://doi.org/10.1044/2016_JSLHR-H-15–0340.Google Scholar
Kingston, J., Levy, J., Rysling, A. & Staub, A. (2016). Eye movement evidence for an immediate Ganong effect. Journal of Experimental Psychology. Human Perception and Performance, 42(12), 1969–88. https://doi.org/10.1037/xhp0000269.CrossRefGoogle ScholarPubMed
Liberman, A. M., Harris, K. S., Hoffman, H. S. & Griffith, B. C. (1957). The discrimination of speech sounds within and across phoneme boundaries. Journal of Experimental Psychology, 54(5), 358–68. https://doi.org/10.1037/h0044417.Google Scholar
Llompart, M. & Reinisch, E. (2017). Articulatory information helps encode lexical contrasts in a second language. Journal of Experimental Psychology: Human Perception and Performance, 43(5), 1040–56. https://doi.org/10.1037/xhp0000383.Google Scholar
Magnuson, J. S., Dixon, J. A., Tanenhaus, M. K. & Aslin, R. N. (2007). The dynamics of lexical competition during spoken word recognition. Cognitive Science, 31(1), 133–56. https://doi.org/10.1080/03640210709336987.CrossRefGoogle ScholarPubMed
Malins, J. G. & Joanisse, M. F. (2010). The roles of tonal and segmental information in Mandarin spoken word recognition: An eyetracking study. Journal of Memory and Language, 62(4), 407–20. https://doi.org/10.1016/j.jml.2010.02.004.CrossRefGoogle Scholar
McClelland, J. L. & Elman, J. L. (1986). The TRACE model of speech perception. Cognitive Psychology, 18(1), 186. https://doi.org/10.1016/0010–0285(86)90015–0.CrossRefGoogle ScholarPubMed
McMurray, B., Clayards, M. A., Tanenhaus, M. K. & Aslin, R. N. (2008). Tracking the time course of phonetic cue integration during spoken word recognition. Psychonomic Bulletin & Review, 15(6), 1064–71.Google Scholar
McMurray, B., Tanenhaus, M. K. & Aslin, R. N. (2009). Within-category VOT affects recovery from ‘lexical’ garden paths: Evidence against phoneme-level inhibition. Journal of Memory and Language, 60(1), 6591. https://doi.org/10.1016/j.jml.2008.07.002.Google Scholar
Mirman, D., Dixon, J. A. & Magnuson, J. S. (2008). Statistical and computational models of the visual world paradigm: Growth curves and individual differences. Journal of Memory and Language, 59(4), 475–94. https://doi.org/10.1016/j.jml.2007.11.006.Google Scholar
Mitterer, H. & Ernestus, M. (2006). Listeners recover /t/s that speakers reduce: Evidence from /t/-lenition in Dutch. Journal of Phonetics, 34(1), 73103. https://doi.org/10.1016/j.wocn.2005.03.003.Google Scholar
Mitterer, H. & McQueen, J. M. (2009). Processing reduced word-forms in speech perception using probabilistic knowledge about speech production. Journal of Experimental Psychology: Human Perception and Performance, 35(1), 244–63. https://doi.org/10.1037/a0012730.Google ScholarPubMed
Mitterer, H. & Reinisch, E. (2013). No delays in application of perceptual learning in speech recognition: Evidence from eye tracking. Journal of Memory and Language, 69(4), 527–45. https://doi.org/10.1016/j.jml.2013.07.002.Google Scholar
Mitterer, H. & Reinisch, E. (2015). Letters don’t matter: No effect of orthography on the perception of conversational speech. Journal of Memory and Language, 85, 116–34. https://doi.org/10.1016/j.jml.2015.08.005.Google Scholar
Mitterer, H. & Reinisch, E. (2017). Visual speech influences speech perception immediately but not automatically. Attention, Perception & Psychophysics, 79(2), 660–78. https://doi.org/10.3758/s13414-016–1249-6.Google Scholar
Mitterer, H., Kim, S. & Cho, T. (2013). Compensation for complete assimilation in speech perception: The case of Korean labial-to-velar assimilation. Journal of Memory and Language, 69(1), 5983. https://doi.org/10.1016/j.jml.2013.02.001.Google Scholar
Nakamura, C., Arai, M. & Mazuka, R. (2012). Immediate use of prosody and context in predicting a syntactic structure. Cognition, 125(2), 317–23. https://doi.org/10.1016/j.cognition.2012.07.016.Google Scholar
Nixon, J. S., van Rij, J., Mok, P., Baayen, R. H. & Chen, Y. (2016). The temporal dynamics of perceptual uncertainty: Eye movement evidence from Cantonese segment and tone perception. Journal of Memory and Language, 90, 103–25. https://doi.org/10.1016/j.jml.2016.03.005.CrossRefGoogle Scholar
Quam, C. & Swingley, D. (2014). Processing of lexical stress cues by young children. Journal of Experimental Child Psychology, 123, 7389. https://doi.org/10.1016/j.jecp.2014.01.010.CrossRefGoogle ScholarPubMed
Reinisch, E. & Sjerps, M. J. (2013). The uptake of spectral and temporal cues in vowel perception is rapidly influenced by context. Journal of Phonetics, 41(2), 101–16.Google Scholar
Reinisch, E. & Weber, A. (2012). Adapting to suprasegmental lexical stress errors in foreign-accented speech. Journal of the Acoustical Society of America, 132(2), 1165–76.Google Scholar
Reinisch, E., Jesse, A. & McQueen, J. M. (2010). Early use of phonetic information in spoken word recognition: Lexical stress drives eye movements immediately. The Quarterly Journal of Experimental Psychology, 63(4), 772–83.CrossRefGoogle ScholarPubMed
Reinisch, E., Jesse, A. & McQueen, J. M. (2011). Speaking rate from proximal and distal contexts is used during word segmentation. Journal of Experimental Psychology: Human Perception and Performance, 37(3), 978.Google Scholar
Rossano, F., Brown, P. & Levinson, S. C. (2009). Gaze, questioning and culture. In Sidnell, J., ed., Conversation Analysis: Comparative Perspectives. Cambridge: Cambridge University Press, pp. 187249.Google Scholar
Salverda, A. P. & Tanenhaus, M. K. (2010). Tracking the time course of orthographic information in spoken-word recognition. Journal of Experimental Psychology. Learning, Memory, and Cognition, 36(5), 1108–17. https://doi.org/10.1037/a0019901.Google Scholar
Salverda, A. P., Dahan, D. & McQueen, J. M. (2003). The role of prosodic boundaries in the resolution of lexical embedding in speech comprehension. Cognition, 90(1), 5189. https://doi.org/10.1016/S0010-0277(03)00139–2.CrossRefGoogle ScholarPubMed
Salverda, A. P., Dahan, D., Tanenhaus, M. K., Crosswhite, K., Masharov, M. & McDonough, J. (2007). Effects of prosodically-modulated sub-phonetic variation on lexical competition. Cognition, 105(2), 466–76. https://doi.org/10.1016/j.cognition.2006.10.008.Google Scholar
Salverda, A. P., Kleinschmidt, D. & Tanenhaus, M. K. (2014). Immediate effects of anticipatory coarticulation in spoken-word recognition. Journal of Memory and Language, 71(1), 145–63. https://doi.org/10.1016/j.jml.2013.11.002.Google Scholar
Sedivy, J. C., Tanenhaus, M. K., Chambers, C. G. & Carlson, G. N. (1999). Achieving incremental semantic interpretation through contextual representation. Cognition, 71(2), 109–47. https://doi.org/10.1016/S0010-0277(99)00025–6.Google Scholar
Shatzman, K. B. & McQueen, J. M. (2006a). Prosodic knowledge affects the recognition of newly acquired words. Psychological Science, 17(5), 372–7. https://doi.org/10.1111/j.1467–9280.2006.01714.x.Google Scholar
Shatzman, K. B. & McQueen, J. M. (2006b). Segment duration as a cue to word boundaries in spoken-word recognition. Perception & Psychophysics, 68(1), 116. https://doi.org/10.3758/BF03193651.Google Scholar
Shatzman, K. B. & McQueen, J. M. (2006c). The modulation of lexical competition by segment duration. Psychonomic Bulletin & Review, 13(6), 966–71. https://doi.org/10.3758/BF03213910.Google Scholar
Shen, J., Deutsch, D. & Rayner, K. (2013). On-line perception of Mandarin Tones 2 and 3: Evidence from eye movements. Journal of the Acoustical Society of America, 133(5), 3016–29. https://doi.org/10.1121/1.4795775.Google Scholar
Shockey, L. (2003). Sound Patterns of Spoken English. Cambridge, MA: Blackwell.Google Scholar
Snedeker, J. & Trueswell, J. (2003). Using prosody to avoid ambiguity: Effects of speaker awareness and referential context. Journal of Memory and Language, 48(1), 103–30. https://doi.org/10.1016/S0749-596X(02)00519–3.Google Scholar
Somppi, S., Törnqvist, H., Hänninen, L., Krause, C. & Vainio, O. (2012). Dogs do look at images: Eye tracking in canine cognition research. Animal Cognition, 15(2), 163–74. https://doi.org/10.1007/s10071-011–0442-1.Google Scholar
Sulpizio, S. & McQueen, J. M. (2012). Italians use abstract knowledge about lexical stress during spoken-word recognition. Journal of Memory and Language, 66(1), 177–93. https://doi.org/10.1016/j.jml.2011.08.001.CrossRefGoogle Scholar
Tanenhaus, M. K., Spivey-Knowlton, M. J., Eberhard, K. M. & Sedivy, J. C. (1995). Integration of visual and linguistic information in spoken language comprehension. Science, 268(5217), 1632–4.Google Scholar
Toscano, J. C. & McMurray, B. (2015). The time-course of speaking rate compensation: Effects of sentential rate and vowel length on voicing judgments. Language, Cognition and Neuroscience, 30(5), 529–43. https://doi.org/10.1080/23273798.2014.946427.Google Scholar
van der Heijden, A. H. C. (1992). Selective Attention in Vision. New York: Routledge.Google Scholar
Vatikiotis-Bateson, E., Eigsti, I.-M., Yano, S. & Munhall, K. G. (1998). Eye movement of perceivers during audiovisual speech perception. Perception & Psychophysics, 60(6), 926–40. https://doi.org/10.3758/BF03211929.Google Scholar
Viebahn, M. C., Ernestus, M. & McQueen, J. M. (2015). Syntactic predictability in the recognition of carefully and casually produced speech. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(6), 1684–702. https://doi.org/10.1037/a0039326.Google Scholar
Watson, D. G., Tanenhaus, M. K. & Gunlogson, C. A. (2008). Interpreting pitch accents in online comprehension: H* vs. L+H*. Cognitive Science, 32(7), 1232–44. https://doi.org/10.1080/03640210802138755.Google Scholar
Weber, A. & Cutler, A. (2004). Lexical competition in non-native spoken-word recognition. Journal of Memory and Language, 50, 125. https://doi.org/10.1016/S0749-596X(03)00105–0.Google Scholar
Weber, A., Braun, B. & Crocker, M. W. (2006a). Finding referents in time: Eye-tracking evidence for the role of contrastive accents. Language and Speech, 49(3), 367–92. https://doi.org/10.1177/00238309060490030301.CrossRefGoogle ScholarPubMed
Weber, A., Grice, M. & Crocker, M. W. (2006b). The role of prosody in the interpretation of structural ambiguities: A study of anticipatory eye movements. Cognition, 99(2), B63B72. https://doi.org/10.1016/j.cognition.2005.07.001.Google Scholar
Westfall, J., Kenny, D. A. & Judd, C. M. (2014). Statistical power and optimal design in experiments in which samples of participants respond to samples of stimuli. Journal of Experimental Psychology. General, 143(5), 2020–45. https://doi.org/10.1037/xge0000014.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×