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Vocal markers of autism: assessing the generalizability of machine learning models
Astrid Rybner, Emil Trenckner Jessen, Marie Damsgaard Mortensen, Stine Nyhus Larsen, Ruth Grossman, Niels Bilenberg, Cathriona Cantio, Jens Richardt Møllegaard Jepsen, View ORCID ProfileEthan Weed, Arndis Simonsen, View ORCID ProfileRiccardo Fusaroli
doi: https://doi.org/10.1101/2021.11.22.469538
Astrid Rybner
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
Emil Trenckner Jessen
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
Marie Damsgaard Mortensen
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
Stine Nyhus Larsen
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
Ruth Grossman
2Communication Sciences and Disorders, Emerson College
Niels Bilenberg
3Child and Youth Psychiatry, University of Southern Denmark
Cathriona Cantio
3Child and Youth Psychiatry, University of Southern Denmark
4Psychology, University of Southern Denmark
Jens Richardt Møllegaard Jepsen
5Child and Adolescent Mental Health Centre, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
6Center for Neuropsychiatric Schizophrenia Research and Center for Clinical Intervention and Neuropsychiatric Schizophrenia Research, Mental Health Services in the Capital Region of Denmark, Copenhagen, Denmark
Ethan Weed
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
7Interacting Minds Center, School of Culture and Society, Aarhus University
Arndis Simonsen
7Interacting Minds Center, School of Culture and Society, Aarhus University
8Psychosis Research Unit, Aarhus University Hospital
Riccardo Fusaroli
1Linguistics, Cognitive Science and Semiotics, School of Communication and Culture, Aarhus University
7Interacting Minds Center, School of Culture and Society, Aarhus University
9Linguistic Data Consortium, University of Pennsylvania
Posted February 17, 2022.
Vocal markers of autism: assessing the generalizability of machine learning models
Astrid Rybner, Emil Trenckner Jessen, Marie Damsgaard Mortensen, Stine Nyhus Larsen, Ruth Grossman, Niels Bilenberg, Cathriona Cantio, Jens Richardt Møllegaard Jepsen, Ethan Weed, Arndis Simonsen, Riccardo Fusaroli
bioRxiv 2021.11.22.469538; doi: https://doi.org/10.1101/2021.11.22.469538
Vocal markers of autism: assessing the generalizability of machine learning models
Astrid Rybner, Emil Trenckner Jessen, Marie Damsgaard Mortensen, Stine Nyhus Larsen, Ruth Grossman, Niels Bilenberg, Cathriona Cantio, Jens Richardt Møllegaard Jepsen, Ethan Weed, Arndis Simonsen, Riccardo Fusaroli
bioRxiv 2021.11.22.469538; doi: https://doi.org/10.1101/2021.11.22.469538
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