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            <title xml:lang="en">Temporal Voices Areas response to synthetic voices in natural conversation support norm- based coding of vocal identity information</title>
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                <forename type="first">Thierry</forename>
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                <title xml:lang="en">Temporal Voices Areas response to synthetic voices in natural conversation support norm- based coding of vocal identity information</title>
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                  <title>2nd International Conference on Voice Identity (VoiceID 2024)</title>
                  <date type="start">2024-08-28</date>
                  <date type="end">2024-08-30</date>
                  <settlement>Marburg</settlement>
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              <p>&lt;div&gt;&lt;p&gt;With recent technical advances in robotics and artificial intelligence, humanoids have provento be valuable tools to investigate mechanisms of human social interactions (Wykowska etal., 2016). While many behavioural features are relevant for social interactions, voices,together with faces, are among the most impactful (Belin, 2018) but also the less studied(Fischer &amp;amp; Niebuhr, 2023). While their responsiveness of temporal vocal areas (TVAs) to vocalstimulations is now clearly established, little is known about the factors that impact theirresponse (Belin et al., 2000). It suggests that response in Temporal Voice Areas increases asindividual voices diverges from an average human voice (Latinus et al., 2013). Here, wesought to investigate the response in Temporal Voice Areas to synthetic voices. As thesevoices are significantly different from human voices, norm-based coding suggests anincreased response in TVAs. We performed an analysis using an existing corpus of 25participants recorded with functional MRI while engaging in conversations with human androbot interlocutors, the later endowed with a text-to-speech synthesis. We focused onperiods when participants listened to the interlocutor. Results (Figure, left) indicate that TVAsidentified by an increased response to human voices compared to the implicit baseline showan additional increased response to synthetic compared to human voices. Reciprocalcomparisons between the artificial and natural interlocutors (Figure, right) revealed that thetemporoparietal junctions associated with mental states attributions is more active whenlistening to the former. Altogether, our results suggest Temporal Voice Areas increasedactivity signals synthetic voices as unnatural.&lt;/p&gt;&lt;/div&gt;</p>
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