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Research Article

Cross-generational Phonetic Alignment between Mothers and Their Children

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Pages 393-414 | Published online: 22 Sep 2021
 

ABSTRACT

Over time, people who spend a lot of time together (e.g., roommates) begin sounding alike. Even over the course of short conversations, interlocutors often become more acoustically similar to one another. This phenomenon – known as phonetic alignment – has been well studied in adult interactions, but much less is known about alignment patterns in intergenerational, adult-child dyads. In the current study, we investigated alignment between mothers and their children in a picture-naming task, as assessed using a perceptual similarity task and acoustic measures. Experiments 1 and 2 examined alignment in 2.5- and 4-year-old children and their mothers, both when mothers shadowed their children (Experiment 1), and when children shadowed their mothers (Experiment 2). Experiments 3 and 4 investigated long-term similarity between mothers and children when they were recorded separately. Results show that children and mothers aligned to one another in the shadowing task, regardless of who shadowed whom, and while there was no evidence for long-term alignment in younger children, there was some evidence of long-term alignment with 8-year-old children and their moms, but only for male children.

Acknowledgments

We would like to thank Lisa Hotson, Arshnoor Khaira, Jasleen Grewal, Jenna Laking, and Tamim Fattah, as well as the other members of the Child Language and Speech Studies Lab for their support. This work was supported by grants from the Social Sciences and Humanities Research Council and Natural Sciences and Engineering Research Council. Portions of this work were presented at the 176th Meeting of the Acoustical Society of America.

Declaration of Interest Statement

We have no conflicts of interest to disclose.

Notes

1 glmer(OwnMother ~ ChildGender + (1 | Participant) + (1 | Item)).

2 lmer(Motherf0/Motherf0Range ~ Childf0/Childf0Range * ChildGender + (1 | Dyad) + (1 | Item)).

3 glmer(OwnMother ~ zDIDf0 + zDIDf0Range + zDIDDuration + ChildGender + (zDIDf0 + zDIDf0Range + zDIDDuration || Participant) + (1 | Item)).

4 glmer(OwnMother ~ ChildGender * RecordingCondition + (1 | Participant) + (RecordingCondition | Item)).

5 lmer(Motherf0/Motherf0Range ~ Childf0/Childf0Range * ChildGender + (1 | Dyad) + (1 | Item)) for the Child 1st condition and lmer(Childf0/Childf0Range ~ Motherf0/Motherf0Range * ChildGender + (1 | Dyad) + (1 | Item)) for the Mother 1st condition.

6 glmer(OwnMother ~ zDIDf0 + zDIDf0Range + zDIDDuration + ChildGender + (zDIDf0 + zDIDf0Range || Participant) + (1 | Item)).

7 glmer(OwnMother ~ ChildGender * RecordingTime + (1 | Participant) + (RecordingTime | Item)).

8 glmer(OwnMother ~ ChildGender + (1 | Participant) + (1 | Item)).

9 glmer(OwnMother ~ ChildGender + (1 | Participant) + (1 | Item)).

10 glmer(OwnMother ~ zDIDf0 + zDIDf0Range + zDIDDuration + ChildGender + (zDIDf0 + zDIDf0Range + zDIDDuration + ChildGender || Participant) + (1 | Item)).

Additional information

Funding

Our work was supported by grants awarded to the third author from SSHRC (Social Sciences and Humanities Research Council of Canada) and NSERC (Natural Sciences and Engineering Research Council of Canada).

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