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Perceiving personally-relevant voices| title | Perceiving personally-relevant voices |
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| start_date | 2025/01/20 |
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| schedule | 15h15 |
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| online | no |
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| location_info | Room B10 |
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| summary | The human voice is a powerful instrument for the dynamic communication of thoughts and states through spoken language, and is considered the primary medium for spoken language comprehension. In contrast, psychology and cognitive neuroscience literatures tend to focus on visual cues (e.g. from the face) as more important for person identity processing. However, our understanding of voice identity processing has been built on empirical evidence that tends to overlook the voices that we know best – that is, the voices of personally-relevant others such as close friends, family, and romantic partners. Not only are these voices very familiar, through extensive and varied exposure, but they are potentially socially and affectively salient because they represent specific people of personal significance. Without studying how these types of voice identity are perceived, we may underestimate the role of voices in social cognition.
In the first part of my talk, I will present evidence from behavioural and neuroimaging work done in our lab that has investigated voice recognition “at its best” by testing perception of personally-relevant voices. I will also touch upon evidence that personally-relevant voices can be rewarding stimuli. Having demonstrated the perceptual and affective significance of personally-relevant voices, the second part of the talk will consider voice cloning as an application of generative artificial intelligence that often targets personally-relevant identities such as the self and close familiar others. I will present a recent project in which we have investigated how voice clones are perceived and evaluated, and discuss how our understanding of personally-relevant voice perception can be brought to bear on potential applications of cloning technology. |
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| responsibles | Allen |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2025/01/15 14:31 UTC |
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