تقرير
Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning
| العنوان: | Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning |
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| المؤلفون: | Kulvicius, Tomas, Lang, Sigrun, Widmann, Claudius AA, Hansmann, Nina, Holzinger, Daniel, Poustka, Luise, Zhang, Dajie, Marschik, Peter B |
| سنة النشر: | 2023 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing |
| الوصف: | 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. Comment: This paper is in German |
| نوع الوثيقة: | Working Paper |
| اللغة: | German |
| URL الوصول: | http://arxiv.org/abs/2303.08239 |
| رقم الأكسشن: | edsarx.2303.08239 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |