Asymmetric Discrimination of Pitch Contours among Non-native Tone Listeners

Main Article Content

Ratree Wayland
Hae Won Kim
Rachel Meyer
Si Chen

บทคัดย่อ

A well-established perceptual bias exists in both infants and adults, favoring the shift from a less peripheral vowel to a more peripheral one. However, the perceptual processes and the information on which these processes operate are not yet fully understood. This study explored the role of frequency modulation in the development of perceptual asymmetries in speech tonal stimuli and tested the hypothesis that a shift from a less spectrally dynamic stimulus to a more spectrally dynamic one is more perceptually salient. The effects of memory load, a factor not considered by previous studies, were also explored. Fifteen native speakers of American English discriminated pairs of speech tonal stimuli varying in pitch contour (falling, rising, level) at short (250 ms) and long (1,000 ms) inter-stimulus intervals. Consistent with the spectral dynamics account, a change from a level pitch contour to a falling and a rising pitch contour was easier to detect than the opposite direction. However, inconsistent with the spectral dynamic hypothesis, a change from a falling tone was easier to discriminate than a change from a rising tone, but it resulted in a longer reaction time compared to a level tone. Poorer sensitivity to pitch contour, as opposed to pitch height or average pitch, among non-tonal language speakers may explain the results.

Article Details

How to Cite
Wayland, R., Kim, H. W. ., Meyer, R. ., & Chen, S. (2024). Asymmetric Discrimination of Pitch Contours among Non-native Tone Listeners. ภาษาและภาษาศาสตร์, 42(2), 1–27. สืบค้น จาก https://so04.tci-thaijo.org/index.php/joling/article/view/274395
บท
บทความวิจัย

References

Bao, H.-W.-S. (2024). bruceR: Broadly useful convenient and efficient R functions (Version 2024.6) [Computer software]. https://CRAN.R-project.org/package=bruceR

Bates, D., Mächler, M., Bolker, B., Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67(1), 1-48. https://doi.org/10.18637/jss.v067.i01

Bent, T., Bradlow, A. R., & Wright, B. A. (2006). The influence of linguistic experience on the cognitive processing of pitch in speech and nonspeech sounds. Journal of Experimental Psychology: Human Perception and Performance, 32(1), 97.

Francis, A. L., & Ciocca, V. (2003). Stimulus presentation order and the perception of lexical tones in Cantonese. The Journal of the Acoustical Society of America, 114(3), 1611-1621.

Gandour, J. T., & Harshman, R. A. (1978). Crosslanguage differences in tone perception: A multidimensional scaling investigation. Language and Speech, 21(1), 1-33.

Guion, S. G., & Pederson, E. (2007). Investigating the role of attention in phonetic learning. Language experience in second language speech learning, 57-77.

Hienz, R. D., Sachs, M. B., & Sinnott, J. M. (1981). Discrimination of steady - state vowels by blackbirds and pigeons. The Journal of the Acoustical Society of America, 70(3), 699-706.

Jongman, A., Qin, Z., Zhang, J., & Sereno, J. A. (2017). Just noticeable differences for pitch direction, height, and slope for Mandarin and English listeners. The Journal of the Acoustical Society of America, 142(2), EL163-EL169.

Kuhl, P. K. (1991). Human adults and human infants show a “perceptual magnet effect” for the prototypes of speech categories, monkeys do not. Perception & Psychophysics, 50(2), 93-107.

Kuhl, P. K., Stevens, E., Hayashi, A., Deguchi, T., Kiritani, S., & Iverson, P. (2006). Infants show a facilitation effect for native language phonetic perception between 6 and 12 months. Developmental Science, 9(2), F13-F21.

Kuhl, P. K., Williams, K. A., Lacerda, F., Stevens, K. N., & Lindblom, B. (1992). Linguistic experience alters phonetic perception in infants by 6 months of age. Science, 255(5044), 606-608.

Lenth, R. (2024). emmeans: Estimated Marginal Means, aka Least-Squares Means. R package version 1.10.5, https://doi.org/10.32614/CRAN.package.emmeans

Masapollo, M., Polka, L., & Ménard, L. (2017a). A universal bias in adult vowel perception–By ear or by eye. Cognition, 166, 358-370.

Masapollo, M., Polka, L., Molnar, M., & Ménard, L. (2017b). Directional asymmetries reveal a universal bias in adult vowel perception. The Journal of the Acoustical Society of America, 141(4), 2857-2869.

Masapollo, M., Zhao, T. C., Franklin, L., & Morgan, J. L. (2019). Asymmetric discrimination of nonspeech tonal analogs of vowels. Journal of Experimental Psychology: Human Perception and Performance, 45(2), 285.

Plauché, M. C. (2001). Acoustic cues in the directionality of stop consonant confusions. University of California, Berkeley. https://escholarship.org/uc/item/8hz6k4c2

Politzer-Ahles, S., Schluter, K., Wu, K., & Almeida, D. (2016). Asymmetries in the perception of Mandarin tones: Evidence from mismatch negativity. Journal of Experimental Psychology: Human Perception and Performance, 42(10), 1547.

Polka, L., & Bohn, O. S. (1996). A cross-language comparison of vowel perception in English-learning and German-learning infants. The Journal of the Acoustical Society of America, 100(1), 577-592.

Polka, L., & Bohn, O. S. (2003). Asymmetries in vowel perception. Speech Communication, 41(1), 221-231.

Polka, L., & Bohn, O. S. (2011). Natural Referent Vowel (NRV) framework: An emerging view of early phonetic development. Journal of Phonetics, 39(4), 467-478.

Polka, L., & Werker, J. F. (1994). Developmental changes in perception of nonnative vowel contrasts. Journal of Experimental Psychology: Human Perception and Performance, 20(2), 421.

R Core Team (2024). R: A language and environment for statistical computing. R Foundation for Statistical Computing. https://www.R-project.org/

Rabe, M. M., Vasishth, S., Hohenstein, S., Kliegl, R., & Schad, D. J. (2020). hypr: An R package for hypothesis-driven contrast coding. Journal of Open Source Software, 5(48), 2134.

Rosch, E. (1975). Cognitive reference points. Cognitive Psychology, 7(4), 532-547.

Schwartz, J. L., & Escudier, P. (1989). A strong evidence for the existence of a large-scale integrated spectral representation in vowel perception. Speech Communication, 8(3), 235-259.

Swaminathan, J., Krishnan, A., & Gandour, J. T. (2008). Pitch encoding in speech and nonspeech contexts in the human auditory brainstem. Neuroreport, 19(11), 1163.

Stevens, K. N. (1999). Acoustic phonetics. MIT Press.

Tversky, A. (1977). Features of similarity. Psychological review, 84(4), 327-352.

Tsao, F. M. (2008). The effect of acoustical similarity on lexical-tone perception of one-year-old Mandarin-learning infants. 中華心理學刊, 50(2), 111-124.

Wayland, R. P., & Li, B. (2008). Effects of two training procedures in cross-language perception of tones. Journal of Phonetics, 36(2), 250-267.

Wayland, R., Herrera, E., & Kaan, E. (2010). Effects of musical experience and training on pitch contour perception. Journal of Phonetics, 38(4), 654-662.

Xie, X., & Myers, E. (2015). The impact of musical training and tone language experience on talker identification. The Journal of the Acoustical Society of America, 137(1), 419-432.

Yeung, H. H., Chen, K. H., & Werker, J. F. (2013). When does native language input affect phonetic perception? The precocious case of lexical tone. Journal of Memory and Language, 68(2), 123-139.

Zhao, T. C., Masapollo, M., Polka, L., Ménard, L., & Kuhl, P. K. (2019). Effects of formant proximity and stimulus prototypicality on the neural discrimination of vowels: Evidence from the auditory frequency-following response. Brain and Language, 194, 77-83.