Ein neues Kodierschema als Basis für die klinische Beurteilung frühkindlicher Vokalisationen und Deep Acoustic Phenotyping

Translated title of the contribution: Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoningc

Tomas Kulvicius (Editor), Sigrun Lang (Editor), Claudius AA Widmann, Nina Hansmann, Daniel Holzinger, Luise Poustka, Dajie Zhang, Peter B Marschik

Research output: Contribution to journalArticlepeer-review

Abstract

Theoretical background: early verbal development is not yet fully understood, especially in its formative phase. Research question: can a reliable, easy-to-use coding scheme for the classification of early infant vocalizations be defined that is applicable as a basis for further analysis of language development? Methods: in a longitudinal study of 45 neurotypical infants, we analyzed vocalizations of the first 4 months of life. Audio segments were assigned to 5 classes: (1) Voiced and (2) Voiceless vocalizations; (3) Defined signal; (4) Non-target; (5) Nonassignable. Results: Two female coders with different experience achieved high agreement without intensive training. Discussion and Conclusion: The reliable scheme can be used in research and clinical settings for efficient coding of infant vocalizations, as a basis for detailed manual and machine analyses.
Translated title of the contributionFacilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoningc
Original languageGerman (Austria)
Number of pages22
JournalKindheit und Entwicklung
DOIs
Publication statusPublished - 2023

Fields of science

  • 303026 Public health
  • 302 Clinical Medicine

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