TY - JOUR
T1 - Abstractness of human speech sound representations
AU - Hestvik, Arild
AU - Shinohara, Yasuaki
AU - Durvasula, Karthik
AU - Verdonschot, Rinus G.
AU - Sakai, Hiromu
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grants 19K13169,16K16884 to Yasuaki Shinohara, and JSPS KAKENHI Grant 15H01881 to Hiromu Sakai, and Waseda University Grant for Special Research Projects 2016K-202 and 2017K-221 to Yasuaki Shinohara. An initial pilot project was supported by a 2009 University of Delaware General University Research grant to Arild Hestvik. We would like to thank our research assistants, Tzu-Yin Chen, Ai Ogawa, Laura Rodrigo, Yushi Sugimoto, and Yunzhu Wang, who helped us collecting EEG experiment data, and special thanks to Yingyi Luo (Chinese Academy of Social Sciences) for help in setting up the EEG laboratory for this project.
Publisher Copyright:
© 2020 The Author(s)
PY - 2020/4/1
Y1 - 2020/4/1
N2 - We argue, based on a study of brain responses to speech sound differences in Japanese, that memory encoding of functional speech sounds—phonemes—are highly abstract. As an example, we provide evidence for a theory where the consonants/p t k b d g/ are not only made up of symbolic features but are underspecified with respect to voicing or laryngeal features, and that languages differ with respect to which feature value is underspecified. In a previous study we showed that voiced stops are underspecified in English [Hestvik, A., & Durvasula, K. (2016). Neurobiological evidence for voicing underspecification in English. Brain and Language], as shown by asymmetries in Mismatch Negativity responses to /t/ and /d/. In the current study, we test the prediction that the opposite asymmetry should be observed in Japanese, if voiceless stops are underspecified in that language. Our results confirm this prediction. This matches a linguistic architecture where phonemes are highly abstract and do not encode actual physical characteristics of the corresponding speech sounds, but rather different subsets of abstract distinctive features.
AB - We argue, based on a study of brain responses to speech sound differences in Japanese, that memory encoding of functional speech sounds—phonemes—are highly abstract. As an example, we provide evidence for a theory where the consonants/p t k b d g/ are not only made up of symbolic features but are underspecified with respect to voicing or laryngeal features, and that languages differ with respect to which feature value is underspecified. In a previous study we showed that voiced stops are underspecified in English [Hestvik, A., & Durvasula, K. (2016). Neurobiological evidence for voicing underspecification in English. Brain and Language], as shown by asymmetries in Mismatch Negativity responses to /t/ and /d/. In the current study, we test the prediction that the opposite asymmetry should be observed in Japanese, if voiceless stops are underspecified in that language. Our results confirm this prediction. This matches a linguistic architecture where phonemes are highly abstract and do not encode actual physical characteristics of the corresponding speech sounds, but rather different subsets of abstract distinctive features.
KW - Language-specificity
KW - Mismatch negativity
KW - Phonemes
KW - Phonetics
KW - Underspecification
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U2 - 10.1016/j.brainres.2020.146664
DO - 10.1016/j.brainres.2020.146664
M3 - Article
C2 - 31930995
AN - SCOPUS:85078697744
SN - 0006-8993
VL - 1732
JO - Brain Research
JF - Brain Research
M1 - 146664
ER -