Are super-face-recognisers also super-voice-recognisers? Evidence from cross-modal identification tasks

Ryan E. Jenkins, Stella Tsermentseli, Claire P. Monks, David J. Robertson, Sarah V. Stevenage, Ashley E. Symons, Josh P. Davis

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
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Individual differences in face identification ability range from prosopagnosia to super-recognition. The current study examined whether face identification ability predicts voice identification ability (participants: N = 529). Superior-face identifiers (exceptional at face memory and matching), superior-face recognisers (exceptional at face memory only), superior-face-matchers (exceptional face matchers only), and controls completed the Bangor Voice Matching Test, Glasgow Voice Memory Test, and a Famous Voice Recognition Test. Meeting predictions, those possessing exceptional face memory and matching skills outperformed typical-range face groups at voice memory and voice matching respectively. Proportionally more super-face identifiers also achieved our super voice-recogniser criteria on two or more tests. Underlying cross-modality (voices vs. faces) and cross-task (memory vs. perception) mechanisms may therefore drive superior performances. Dissociations between Glasgow Voice Memory Test voice and bell recognition also suggest voice-specific effects to match those found with faces. These findings have applied implications for policing, particularly in cases when only suspect voice clips are available.
Original languageEnglish
Pages (from-to)590-605
Number of pages16
JournalApplied Cognitive Psychology
Issue number3
Early online date2 Mar 2021
Publication statusPublished - 1 May 2021


  • face recognition
  • face matching
  • unfamiliar faces
  • familiar faces
  • voice matching
  • voice recognition
  • unfamiliar voices
  • identity recognition
  • policing
  • security
  • suspect idenitification
  • identity verification
  • super recognisers
  • super face recognisers
  • super voice recognisers


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