Efficient Collection and Representation of Preverbal Data in Typical and Atypical Development.

Human preverbal development refers to the period of steadily increasing vocal capacities until the emergence of a child's first meaningful words. Over the last decades, research has intensively focused on preverbal behavior in typical development. Preverbal vocal patterns have been phonetically clas...

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Publicado en:Journal of Nonverbal Behavior Vol. 44; no. 4; pp. 419 - 437
Autores principales: Pokorny, Florian B., Bartl-Pokorny, Katrin D., Zhang, Dajie, Marschik, Peter B., Schuller, Dagmar, Schuller, Björn W.
Formato: Artículo
Publicado: Springer Nature Dec2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2020
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      pub: Springer Nature
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        10.1007/s10919-020-00332-4
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        atl: Efficient Collection and Representation of Preverbal Data in Typical and Atypical Development.
      aug:
        au:
          Pokorny, Florian B.
          Bartl-Pokorny, Katrin D.
          Zhang, Dajie
          Marschik, Peter B.
          Schuller, Dagmar
          Schuller, Björn W.
        affil:
          iDN – interdisciplinary Developmental Neuroscience, Division of Phoniatrics, Medical University of Graz, Graz, Austria
          Machine Intelligence & Signal Processing group (MISP), Chair of Human–Machine Communication, Technical University of Munich, Munich, Germany
          Department of Child and Adolescent Psychiatry and Psychotherapy, University Medical Center Göttingen, Göttingen, Germany
          Leibniz ScienceCampus Primate Cognition, Göttingen, Germany
          Center of Neurodevelopmental Disorders (KIND), Department of Women's and Children's Health, Karolinska Institutet, Stockholm, Sweden
          audEERING GmbH, Gilching, Germany
          ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany
          GLAM – Group on Language, Audio & Music, Department of Computing, Imperial College London, London, UK
      su:
        Autism
        Child development
        Developmental disabilities
        Language acquisition
        Machine learning
        Rett syndrome
        Data analysis
        Content mining
      sug:
        subj:
          Autism
          Child development
          Developmental disabilities
          Language acquisition
          Machine learning
          Rett syndrome
          Data analysis
          Content mining
      keyword:
        Data collection
        Data representation
        Developmental disorders
        Infancy
        Intelligent audio analysis
        Preverbal development
        Data collection
        Data representation
        Developmental disorders
        Infancy
        Intelligent audio analysis
        Preverbal development
      ab: Human preverbal development refers to the period of steadily increasing vocal capacities until the emergence of a child's first meaningful words. Over the last decades, research has intensively focused on preverbal behavior in typical development. Preverbal vocal patterns have been phonetically classified and acoustically characterized. More recently, specific preverbal phenomena were discussed to play a role as early indicators of atypical development. Recent advancements in audio signal processing and machine learning have allowed for novel approaches in preverbal behavior analysis including automatic vocalization-based differentiation of typically and atypically developing individuals. In this paper, we give a methodological overview of current strategies for collecting and acoustically representing preverbal data for intelligent audio analysis paradigms. Efficiency in the context of data collection and data representation is discussed. Following current research trends, we set a special focus on challenges that arise when dealing with preverbal data of individuals with late detected developmental disorders, such as autism spectrum disorder or Rett syndrome.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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