Sarah Bakst, UC Berkeley Phonetics and Phonology in Europe University of Cambridge June 29, 2015
Retroflexes and Dentals 210 ms -1 kHz- -2 kHz- -3 kHz- -4 kHz- -5 kHz- a ɖ a a d ̪ a 210 ms
Burst spectra retroflex dental
Different distributions HindiTamil word-initial ɖ ar ‘fear’ *word-initial (except borrowings) word-final pe ʈ ‘stomach’; pe ɽ ‘tree’ word-final (resonants) p ɔɳ ‘girl’ word-medial lə ɖː u ‘ladoo’ (type of sweet) word-medial a ːɖɨ ‘sheep’
Hypothesis Perceptual effect ~ phonological pattern? a. Tamil speakers will be less sensitive to burst cues than Hindi speakers. b. Tamil speakers will be more sensitive to vowel transitions that Hindi speakers. Effect not predicted by motor theory (Liberman 1985) and some versions of direct realism (e.g. Fowler 1986).
Stimuli Recordings of Hindi and Tamil speakers Isolation of a ɖ a and ad ̪ a sequences Cross-language and speaker comparison Retroflex Dental
Synthesis Synthesis of a ɖ a and ad ̪ a using the Klatt synthesizer Equalized pitch Interpolated seven step continuum between the two stops. Five continua with altered cues
Synthesized Stimuli Vowel cues only (VC), no burst. Burst cues only (CV), no initial vowel. Ambiguous burst: VC + step 4 burst. Ambiguous vowel: step 4 vowel transition + CV Mismatch: step 1 vowel + step 7 burst -> step 7 vowel + step 1 burst
Procedure Two-alternative forced-choice identification task in Open Sesame in sound-attenuating booth All stimuli combined and randomized Ten repetitions of all stimuli (420 trials total) Break given just over halfway through Experiment lasted about twenty minutes
Procedure
Participants Mostly UC Berkeley students, some members of the community Native speakers of Hindi (16) or Tamil (17) $5 or extra credit in intro linguistics class
Modeling Mixed-effects logistic model in R to predict probability of “retroflex” response. One model for each continuum: response ~ step*language + 1|sub
Results p-level: after Bonferroni corrections Trending overall language effect: CV (p =.017) Interaction on particular steps: baseline (p =.04, marginal) VC (p =.017) ambiguous consonant (p =.0001) mismatch condition (p <.0001)
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Interpretation Tamil speakers slightly more sensitive to burst cues Hindi speakers slightly more sensitive to vowel cues Opposite of specific prediction
Discussion Differences in number and type of phonotactic systems Frequency of contrast and functional load
Conclusion Small effect of language experience on sensitivity to different acoustic cues Phonetic knowledge is learned rather than innate. Intended gesture unlikely to be the object of perception
Acknowledgments Many thanks to Prof. Keith Johnson for supervising the project Prof. Beth Hume Emily Cibelli, Clara Cohen, Andréa Davis, and other members of the UC Berkeley Phonology Lab Undergraduate assistants Shannon Foster and Akshayraj Aitha for running subjects and the Linguistics Research Apprenticeship Program for funding the project
Selected References Best C. T. (1995). A direct realist view of cross-language speech perception, in Speech Percep- tion and Linguistic Experience: Issues in Cross-Language Research, ed Strange W., editor. (Timonium, MD: York Press; ), 171–204. Fowler, C.A. (2006) Compensation for coarticulation reflects gesture perception, not spectral contrast. Percept. & Psychophys. 68(2), 161–177. Gerrits, E., and M. E. H. Schouten Categorical perception depends on the discrimination task. Perception & Psychophysics 66:363–376. Holt, Lori L., and Andrew J. Lotto Cue weighting in auditory categorization: Implica- tions for first and second language acquisition. Journal of the Acoustical Society of America 119:3059–3071. Klatt, Dennis H Software for a cascade/parallel formant synthesizer. Journal of the Acoustical Society of America 67:971–995. Liberman, Alvin M., and Ignatius G. Mattingly The motor theory of speech perception revised. Cognition 1–36. Lisker, Leigh “Voicing” in English: A catalogue of acoustic features signaling /b/ versus /p/ in trochees. Language and Speech 29:3–11. Mathoˆt, S., D. Schreij, and J. Theeuwes OpenSesame: An open-source, graphical exper- iment builder for the social sciences. Behavior Research Methods 44:314–324. Morrison, Geoffrey Stewart, and Maria V. Kondaurova Analysis of categorical response data: Use logistic regression rather than endpoint-difference scores or discriminant analysis (L). Journal of the Acoustical Society of America 126:2159–2162. Steriade, Donca Directional asymmetries in place assimilation: a perceptual account. In Perception in phonology, ed. E. Hume and K. Johnson. Academic Press. Stevens, Kenneth N., and Sheila E. Blumstein Quantal aspects of consonant production and perception: a study of retroflex stop consonants. Journal of Phonetics 3:215–233.
Palatography Tamil Hindi Tamil