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Earlier Identificat...
Earlier Identification of Children with Autism Spectrum Disorder : An Automatic Vocalisation-based Approach
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- Pokorny, Florian B. (författare)
- Med Univ Graz, Dept Phoniatr, Res Unit iDN, Graz, Austria;Tech Univ Munich, Machine Intelligence & Signal Proc Grp MISP, MMK, Munich, Germany;BioTechMed Graz, BEE PRI, Graz, Austria
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- Schuller, Bjoern W. (författare)
- Univ Passau, Chair Complex & Intelligent Syst, Passau, Germany;Imperial Coll London, Dept Comp, Machine Learning Grp, London, England
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- Marschik, Peter B. (författare)
- Med Univ Graz, Dept Phoniatr, Res Unit iDN, Graz, Austria;BioTechMed Graz, BEE PRI, Graz, Austria;Karolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodev Disorders KIND, Stockholm, Sweden
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- Brueckner, Raymond (författare)
- Tech Univ Munich, Machine Intelligence & Signal Proc Grp MISP, MMK, Munich, Germany;Nuance Commun, Ulm, Germany
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- Nyström, Pär, 1975- (författare)
- Uppsala universitet,Institutionen för psykologi
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- Cummins, Nicholas (författare)
- Univ Passau, Chair Complex & Intelligent Syst, Passau, Germany
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- Bolte, Sven (författare)
- Karolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodev Disorders KIND, Stockholm, Sweden;Stockholm Cty Council, Ctr Psychiat Res, Child & Adolescent Psychiat, Stockholm, Sweden
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- Einspieler, Christa (författare)
- Med Univ Graz, Dept Phoniatr, Res Unit iDN, Graz, Austria
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- Falck-Ytter, Terje (författare)
- Uppsala universitet,Institutionen för psykologi,Karolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodev Disorders KIND, Stockholm, Sweden
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(creator_code:org_t)
- 2017
- 2017
- Engelska.
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Ingår i: 18Th Annual Conference Of The International Speech Communication Association (INTERSPEECH 2017), Vols 1-6. - 9781510848764 ; , s. 309-313
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.2...
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Abstract
Ämnesord
Stäng
- Autism spectrum disorder (ASD) is a neurodevelopmental disorder usually diagnosed in or beyond toddlerhood. ASD is defined by repetitive and restricted behaviours, and deficits in social communication. The early speech-language development of individuals with ASD has been characterised as delayed. However, little is known about ASD-related characteristics of pre-linguistic vocalisations at the feature level. In this study. we examined pre-linguistic vocalisations of 10-month-old individuals later diagnosed with ASD and a matched control group of typically developing individuals (N = 20). We segmented 684 vocalisations from parent-child interaction recordings. All vocalisations were annotated and signal-analytically decomposed. We analysed ASD-related vocalisation specificities on the basis of a standardised set (eGeMAPS) of 88 acoustic features selected for clinical speech analysis applications. 54 features showed evidence for a differentiation between vocalisations of individuals later diagnosed with ASD and controls. In addition, we evaluated the feasibility of automated, vocalisation-based identification of individuals later diagnosed with ASD. We compared linear kernel support vector machines and a 1-layer bidirectional long short-term memory neural network. Both classification approaches achieved an accuracy of 75% for subject-wise identification in a subject-independent 3-fold cross-validation scheme. Our promising results may be an important contribution en-route to facilitate earlier identification of ASD.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Psykiatri (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Psychiatry (hsv//eng)
Nyckelord
- autism spectrum disorder
- early identification
- infant vocalisation analysis
- speech-language pathology
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Pokorny, Florian ...
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Schuller, Bjoern ...
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Marschik, Peter ...
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Brueckner, Raymo ...
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Nyström, Pär, 19 ...
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Cummins, Nichola ...
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Bolte, Sven
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Einspieler, Chri ...
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Falck-Ytter, Ter ...
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