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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