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Pokorny, Florian B.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
(författare)
Earlier Identification of Children with Autism Spectrum Disorder : An Automatic Vocalisation-based Approach
- Artikel/kapitelEngelska2017
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LIBRIS-ID:oai:DiVA.org:uu-391311
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https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-391311URI
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https://doi.org/10.21437/Interspeech.2017-1007DOI
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Språk:engelska
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Sammanfattning på:engelska
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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.
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Biuppslag (personer, institutioner, konferenser, titlar ...)
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Schuller, Bjoern W.Univ Passau, Chair Complex & Intelligent Syst, Passau, Germany;Imperial Coll London, Dept Comp, Machine Learning Grp, London, England
(författare)
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Marschik, Peter B.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
(författare)
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Brueckner, RaymondTech Univ Munich, Machine Intelligence & Signal Proc Grp MISP, MMK, Munich, Germany;Nuance Commun, Ulm, Germany
(författare)
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Nyström, Pär,1975-Uppsala universitet,Institutionen för psykologi(Swepub:uu)panys031
(författare)
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Cummins, NicholasUniv Passau, Chair Complex & Intelligent Syst, Passau, Germany
(författare)
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Bolte, SvenKarolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodev Disorders KIND, Stockholm, Sweden;Stockholm Cty Council, Ctr Psychiat Res, Child & Adolescent Psychiat, Stockholm, Sweden
(författare)
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Einspieler, ChristaMed Univ Graz, Dept Phoniatr, Res Unit iDN, Graz, Austria
(författare)
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Falck-Ytter, TerjeUppsala universitet,Institutionen för psykologi,Karolinska Inst, Dept Womens & Childrens Hlth, Ctr Neurodev Disorders KIND, Stockholm, Sweden(Swepub:uu)terfa327
(författare)
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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, AustriaUniv Passau, Chair Complex & Intelligent Syst, Passau, Germany;Imperial Coll London, Dept Comp, Machine Learning Grp, London, England
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:18Th Annual Conference Of The International Speech Communication Association (INTERSPEECH 2017), Vols 1-6, s. 309-3139781510848764
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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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visa fler...
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Bolte, Sven
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Einspieler, Chri ...
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Falck-Ytter, Ter ...
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och Klinisk medicin
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och Psykiatri
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18Th Annual Conf ...
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Uppsala universitet