Literature DB >> 12003513

Acoustic patterns of infant vocalizations expressing emotions and communicative functions.

C Papaeliou1, G Minadakis, D Cavouras.   

Abstract

The present study aimed at identifying the acoustic pattern of vocalizations, produced by 7- to 11-month-old infants, that were interpreted by their mothers as expressing emotions or communicative functions. Participants were 6 healthy, first-born English infants, 3 boys and 3 girls, and their mothers. The acoustic analysis of the vocalizations was performed using a pattern recognition (PR) software system. A PR system not only calculates signal features, it also automatically detects patterns in the arrangement of such features. The following results were obtained: (a) the PR system distinguished vocalizations interpreted as emotions from vocalizations interpreted as communicative functions with an overall accuracy of 87.34%; (b) the classification accuracy of the PR system for vocalizations that convey emotions was 85.4% and for vocalizations that convey communicative functions was 89.5%; and (c) compared to vocalizations that express emotions, vocalizations that express communicative functions were shorter, displayed lower fundamental frequency values, and had greater overall intensity. These findings suggest that in the second half of the first year, infants possess a vocal repertoire that contributes to regulating cooperative interaction with their mothers, which is considered one of the major prerequisites for language acquisition.

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Year:  2002        PMID: 12003513     DOI: 10.1044/1092-4388(2002/024)

Source DB:  PubMed          Journal:  J Speech Lang Hear Res        ISSN: 1092-4388            Impact factor:   2.297


  8 in total

1.  Predicting phonetic transcription agreement: insights from research in infant vocalizations.

Authors:  Heather L Ramsdell; D Kimbrough Oller; Corinna A Ethington
Journal:  Clin Linguist Phon       Date:  2007-10       Impact factor: 1.346

2.  Frequency of vocalization before and after cochlear implantation: dynamic effect of auditory feedback on infant behavior.

Authors:  Mary K Fagan
Journal:  J Exp Child Psychol       Date:  2014-07-04

3.  Data-driven automated acoustic analysis of human infant vocalizations using neural network tools.

Authors:  Anne S Warlaumont; D Kimbrough Oller; Eugene H Buder; Rick Dale; Robert Kozma
Journal:  J Acoust Soc Am       Date:  2010-04       Impact factor: 1.840

4.  Effects of Parental Interaction on Infant Vocalization Rate, Variability and Vocal Type.

Authors:  Beau Franklin; Anne S Warlaumont; Daniel Messinger; Edina Bene; Suneeti Nathani Iyer; Chia-Chang Lee; Brittany Lambert; D Kimbrough Oller
Journal:  Lang Learn Dev       Date:  2014

5.  Identification of prelinguistic phonological categories.

Authors:  Heather L Ramsdell; D Kimbrough Oller; Eugene H Buder; Corinna A Ethington; Lesya Chorna
Journal:  J Speech Lang Hear Res       Date:  2012-04-05       Impact factor: 2.297

6.  Functional flexibility of infant vocalization and the emergence of language.

Authors:  D Kimbrough Oller; Eugene H Buder; Heather L Ramsdell; Anne S Warlaumont; Lesya Chorna; Roger Bakeman
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-02       Impact factor: 11.205

7.  Emergence of Functional Flexibility in Infant Vocalizations of the First 3 Months.

Authors:  Yuna Jhang; D Kimbrough Oller
Journal:  Front Psychol       Date:  2017-03-24

8.  Analysis of acoustic and voice quality features for the classification of infant and mother vocalizations.

Authors:  Jialu Li; Mark Hasegawa-Johnson; Nancy L McElwain
Journal:  Speech Commun       Date:  2021-08-18       Impact factor: 2.723

  8 in total

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