TY - JOUR
T1 - Modeling sonority in terms of pitch intelligibility with the nucleus attraction principle
AU - Albert, Aviad
AU - Nicenboim, Bruno
N1 - Funding Information:
This work was supported by the DAAD (German Academic Exchange Service) and SFB 1252 Collaborative Research Center “Prominence in Language” at the University of Cologne. We thank Carol Espy‐Wilson and her colleagues for sharing the APP Detector code with us, and we thank Yair Lakretz and Doron Veltzer for their related technical support. We are also very grateful to Martine Grice, Doris Mücke, Timo B. Roettger, Francesco Cangemi, Simon Wehrle, Evan Gary Cohen, Joanna Rączaszek‐Leonardi, Mauricio Milchberg, and two anonymous reviewers for their many insightful comments on earlier drafts of this work.
Publisher Copyright:
© 2022 The Authors. Cognitive Science published by Wiley Periodicals LLC on behalf of Cognitive Science Society (CSS).
PY - 2022/7/7
Y1 - 2022/7/7
N2 - Sonority is a fundamental notion in phonetics and phonology, central to many descriptions of the syllable and various useful predictions in phonotactics. Although widely accepted, sonority lacks a clear basis in speech articulation or perception, given that traditional formal principles in linguistic theory are often exclusively based on discrete units in symbolic representation and are typically not designed to be compatible with auditory perception, sensorimotor control, or general cognitive capacities. In addition, traditional sonority principles also exhibit systematic gaps in empirical coverage. Against this backdrop, we propose the incorporation of symbol-based and signal-based models to adequately account for sonority in a complementary manner. We claim that sonority is primarily a perceptual phenomenon related to pitch, driving the optimization of syllables as pitch-bearing units in all language systems. We suggest a measurable acoustic correlate for sonority in terms of periodic energy, and we provide a novel principle that can account for syllabic well-formedness, the nucleus attraction principle (NAP). We present perception experiments that test our two NAP-based models against four traditional sonority models, and we use a Bayesian data analysis approach to test and compare them. Our symbolic NAP model outperforms all the other models we test, while our continuous bottom-up NAP model is at second place, along with the best performing traditional models. We interpret the results as providing strong support for our proposals: (i) the designation of periodic energy as the acoustic correlate of sonority; (ii) the incorporation of continuous entities in phonological models of perception; and (iii) the dual-model strategy that separately analyzes symbol-based top-down processes and signal-based bottom-up processes in speech perception.
AB - Sonority is a fundamental notion in phonetics and phonology, central to many descriptions of the syllable and various useful predictions in phonotactics. Although widely accepted, sonority lacks a clear basis in speech articulation or perception, given that traditional formal principles in linguistic theory are often exclusively based on discrete units in symbolic representation and are typically not designed to be compatible with auditory perception, sensorimotor control, or general cognitive capacities. In addition, traditional sonority principles also exhibit systematic gaps in empirical coverage. Against this backdrop, we propose the incorporation of symbol-based and signal-based models to adequately account for sonority in a complementary manner. We claim that sonority is primarily a perceptual phenomenon related to pitch, driving the optimization of syllables as pitch-bearing units in all language systems. We suggest a measurable acoustic correlate for sonority in terms of periodic energy, and we provide a novel principle that can account for syllabic well-formedness, the nucleus attraction principle (NAP). We present perception experiments that test our two NAP-based models against four traditional sonority models, and we use a Bayesian data analysis approach to test and compare them. Our symbolic NAP model outperforms all the other models we test, while our continuous bottom-up NAP model is at second place, along with the best performing traditional models. We interpret the results as providing strong support for our proposals: (i) the designation of periodic energy as the acoustic correlate of sonority; (ii) the incorporation of continuous entities in phonological models of perception; and (iii) the dual-model strategy that separately analyzes symbol-based top-down processes and signal-based bottom-up processes in speech perception.
KW - Bayesian data analysis
KW - Periodic energy
KW - Phonetics and phonology
KW - Pitch intelligibility
KW - Sonority
KW - Speech perception
UR - http://www.scopus.com/inward/record.url?scp=85134361350&partnerID=8YFLogxK
U2 - 10.1111/cogs.13161
DO - 10.1111/cogs.13161
M3 - Article
SN - 0364-0213
VL - 46
SP - 1
EP - 68
JO - Cognitive Science
JF - Cognitive Science
IS - 7
M1 - e13161
ER -