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Passive Audio Vocal Capture and Measurement in the Evaluation of Selective Mutism

Helen Y Xu, Jacob Stroud, Renee K Jozanovic, View ORCID ProfileJon Clucas, View ORCID ProfileJake Son, Bonhwang Koo, Juliet Schwarz, View ORCID ProfileArno Klein, Rachel Busman, View ORCID ProfileMichael P Milham
doi: https://doi.org/10.1101/250308
Helen Y Xu
1Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
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Jacob Stroud
2Northeastern University, Boston, Massachusetts
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Renee K Jozanovic
2Northeastern University, Boston, Massachusetts
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Jon Clucas
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Jake Son
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Bonhwang Koo
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Juliet Schwarz
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Arno Klein
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Rachel Busman
3Center for the Developing Brain, Child Mind Institute, New York, New York
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Michael P Milham
3Center for the Developing Brain, Child Mind Institute, New York, New York
4Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, New York
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ABSTRACT

Selective Mutism (SM) is an anxiety disorder often diagnosed in early childhood and characterized by persistent failure to speak in certain social situations but not others. Diagnosing SM and monitoring treatment response can be quite complex, due in part to changing definitions of and scarcity of research about the disorder. Subjective self-reports and parent/teacher interviews can complicate SM diagnosis and therapy, given that similar speech problems of etiologically heterogeneous origin can be attributed to SM. The present perspective discusses the potential for passive audio capture to help overcome psychiatry’s current lack of objective and quantifiable assessments in the context of SM. We present evidence from two pilot studies indicating the feasibility of using a digital wearable device to quantify child vocalization features affected by SM. We also highlight limitations in the design and implementation of this preliminary work that can help guide future efforts.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.
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Posted January 19, 2018.
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Passive Audio Vocal Capture and Measurement in the Evaluation of Selective Mutism
Helen Y Xu, Jacob Stroud, Renee K Jozanovic, Jon Clucas, Jake Son, Bonhwang Koo, Juliet Schwarz, Arno Klein, Rachel Busman, Michael P Milham
bioRxiv 250308; doi: https://doi.org/10.1101/250308
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Passive Audio Vocal Capture and Measurement in the Evaluation of Selective Mutism
Helen Y Xu, Jacob Stroud, Renee K Jozanovic, Jon Clucas, Jake Son, Bonhwang Koo, Juliet Schwarz, Arno Klein, Rachel Busman, Michael P Milham
bioRxiv 250308; doi: https://doi.org/10.1101/250308

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