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    <IdentifierUrn>urn:nbn:de:0183-26dga2277</IdentifierUrn>
    <ArticleType>Meeting Abstract</ArticleType>
    <TitleGroup>
      <Title language="en">The Jena Famous Voices Test (JFVT): assessing speaker recognition in listeners with and without autism</Title>
    </TitleGroup>
    <CreatorList>
      <Creator>
        <PersonNames>
          <Lastname>Z&#228;ske</Lastname>
          <LastnameHeading>Z&#228;ske</LastnameHeading>
          <Firstname>Romi</Firstname>
          <Initials>R</Initials>
        </PersonNames>
        <Address>
          <Affiliation>Friedrich-Schiller-Universit&#228;t Jena, Department for General Psychology and Cognitive Neuroscience, Jena, Deutschland</Affiliation>
          <Affiliation>University Hospital Jena, Department of Otorhinolaryngology, Jena, Deutschland</Affiliation>
          <Affiliation>Voice Research Unit, Jena, Deutschland</Affiliation>
        </Address>
        <Creatorrole corresponding="no" presenting="yes">author</Creatorrole>
      </Creator>
      <Creator>
        <PersonNames>
          <Lastname>G&#228;rtner</Lastname>
          <LastnameHeading>G&#228;rtner</LastnameHeading>
          <Firstname>Lisa</Firstname>
          <Initials>L</Initials>
        </PersonNames>
        <Address>
          <Affiliation>Friedrich-Schiller-Universit&#228;t Jena, Department for General Psychology and Cognitive Neuroscience, Jena, Deutschland</Affiliation>
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        <Creatorrole corresponding="no" presenting="no">author</Creatorrole>
      </Creator>
      <Creator>
        <PersonNames>
          <Lastname>Heyder</Lastname>
          <LastnameHeading>Heyder</LastnameHeading>
          <Firstname>Toni B.</Firstname>
          <Initials>TB</Initials>
        </PersonNames>
        <Address>
          <Affiliation>Friedrich-Schiller-Universit&#228;t Jena, Department for General Psychology and Cognitive Neuroscience, Jena, Deutschland</Affiliation>
        </Address>
        <Creatorrole corresponding="no" presenting="no">author</Creatorrole>
      </Creator>
      <Creator>
        <PersonNames>
          <Lastname>Schweinberger</Lastname>
          <LastnameHeading>Schweinberger</LastnameHeading>
          <Firstname>Stefan R.</Firstname>
          <Initials>SR</Initials>
        </PersonNames>
        <Address>
          <Affiliation>Friedrich-Schiller-Universit&#228;t Jena, Department for General Psychology and Cognitive Neuroscience, Jena, Deutschland</Affiliation>
          <Affiliation>Voice Research Unit, Jena, Deutschland</Affiliation>
          <Affiliation>German Center for Mental Health (DZPG), Site Jena-Magdeburg-Halle, Deutschland</Affiliation>
          <Affiliation>University of Geneva, Swiss Center for Affective Sciences, Geneva, Schweiz</Affiliation>
        </Address>
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      <Publisher>
        <Corporation>
          <Corporatename>German Medical Science GMS Publishing House</Corporatename>
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        <Address>D&#252;sseldorf</Address>
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    <SubjectGroup>
      <SubjectheadingDDB>610</SubjectheadingDDB>
    </SubjectGroup>
    <DatePublishedList>
      <DatePublished >20260302</DatePublished >
    </DatePublishedList>
    <Language>engl</Language>
    <License license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
      <AltText language="en">This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License.</AltText>
      <AltText language="de">Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung).</AltText>
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      <Meeting>
        <MeetingId>M0642</MeetingId>
        <MeetingSequence>227</MeetingSequence>
        <MeetingCorporation>Deutsche Gesellschaft f&#252;r Audiologie e. V.</MeetingCorporation>
        <MeetingName>28. Jahrestagung der Deutschen Gesellschaft f&#252;r Audiologie</MeetingName>
        <MeetingTitle></MeetingTitle>
        <MeetingSession>Postersession</MeetingSession>
        <MeetingCity>Oldenburg</MeetingCity>
        <MeetingDate>
          <DateFrom>20260304</DateFrom>
          <DateTo>20260306</DateTo>
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    <ArticleNo>227</ArticleNo>
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      <MainHeadline>Text</MainHeadline><Pgraph><Mark1>Study rationale</Mark1>: Individuals with autism spectrum disorder (ASD) are often impaired in the learning and identification of others by face and voice. However, familiar (famous) voices may be an exception, with some evidence for similar identification rates in ASD and neurotypical participants. To further investigate the issue, we developed the Jena Famous Voices Test (JFVT; <TextLink reference="1"></TextLink>), a 15 min screening tool with voice samples of 30 German celebrities. The JFVT comes in two parallel versions for which appropriate celebrities are selected relative to a target population, and provides identification performance scores that are corrected for person knowledge (i.e., proportion of voices identified relative to proportion of persons known). We compared identification performance for famous voices across 83 healthy listeners with a low to high autism-spectrum quotient (AQ, Study 1), as well as across 24 listeners with and without an ASD diagnosis (Study 2). To test for voice learning abilities, we further employed the Jena Voice Learning and Memory Test (JVLMT; <TextLink reference="2"></TextLink>) to assess unfamiliar voice memory, and for comparison with face processing abilities, we used two analogous identification and learning tests from the face domain (J-BFFT-2022; CFMT).</Pgraph><Pgraph><Mark1>Results</Mark1>: In Study 1, no correlations (all <Mark2>rs</Mark2> &#60; .13; all <Mark2>ps</Mark2> &#62; .20) were observed between autistic traits (AQ) in the general population and performance in person identification and learning tests, neither for voices nor for faces. Parallelism of the two JFVT versions was verified by non-significant differences in identification performance (<Mark2>p</Mark2> &#62; .05). In Study 2, we found significant impairments in the ASD group compared to controls across all tests (<Mark2>p</Mark2> &#60; .001), with no interactions with test type.</Pgraph><Pgraph><Mark1>Conclusions:</Mark1> First, the JFVT is an economical and adaptable new tool to assess voice identification abilities for famous speakers, complementing other tests on high-level auditory perception. Second, general impairments of voice recognition in ASD, both for famous and for trained-to-familiar voices, argue against relatively preserved familiar voice identification abilities in ASD for people scoring highly on the autism spectrum, as in individuals with an ASD diagnosis, but not in the general population.</Pgraph></TextBlock>
    <References linked="yes">
      <Reference refNo="1">
        <RefAuthor>G&#228;rtner L</RefAuthor>
        <RefTitle></RefTitle>
        <RefYear>2024</RefYear>
        <RefBookTitle>Personenerkennung anhand von Gesicht und Stimme bei Menschen mit und ohne Autismus-Spektrum-St&#246;rungen &#91;masterthesis&#93;</RefBookTitle>
        <RefPage></RefPage>
        <RefTotal>G&#228;rtner L. Personenerkennung anhand von Gesicht und Stimme bei Menschen mit und ohne Autismus-Spektrum-St&#246;rungen &#91;masterthesis&#93;. Jena: Friedrich-Schiller-University Jena; 2024.</RefTotal>
      </Reference>
      <Reference refNo="2">
        <RefAuthor>Humble D</RefAuthor>
        <RefAuthor>Schweinberger SR</RefAuthor>
        <RefAuthor>Mayer A</RefAuthor>
        <RefAuthor>Jesgarzewsky TL</RefAuthor>
        <RefAuthor>Dobel C</RefAuthor>
        <RefAuthor>Z&#228;ske R</RefAuthor>
        <RefTitle>The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices</RefTitle>
        <RefYear>2023</RefYear>
        <RefJournal>Behav Res Methods</RefJournal>
        <RefPage>1352-1371</RefPage>
        <RefTotal>Humble D, Schweinberger SR, Mayer A, Jesgarzewsky TL, Dobel C, Z&#228;ske R. The Jena Voice Learning and Memory Test (JVLMT): A standardized tool for assessing the ability to learn and recognize voices. Behav Res Methods. 2023 Apr;55(3):1352-1371. DOI: 10.3758&#47;s13428-022-01818-3</RefTotal>
        <RefLink>http:&#47;&#47;dx.doi.org&#47;10.3758&#47;s13428-022-01818-3</RefLink>
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