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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2303.08239 |
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| _version_ | 1866916621779468288 |
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| author | Kulvicius, Tomas Lang, Sigrun Widmann, Claudius AA Hansmann, Nina Holzinger, Daniel Poustka, Luise Zhang, Dajie Marschik, Peter B |
| author_facet | Kulvicius, Tomas Lang, Sigrun Widmann, Claudius AA Hansmann, Nina Holzinger, Daniel Poustka, Luise Zhang, Dajie Marschik, Peter B |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2303_08239 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning Kulvicius, Tomas Lang, Sigrun Widmann, Claudius AA Hansmann, Nina Holzinger, Daniel Poustka, Luise Zhang, Dajie Marschik, Peter B Sound Audio and Speech Processing 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. |
| title | Facilitating deep acoustic phenotyping: A basic coding scheme of infant vocalisations preluding computational analysis, machine learning and clinical reasoning |
| topic | Sound Audio and Speech Processing |
| url | https://arxiv.org/abs/2303.08239 |