Frightened by the perpetrator's voice: Startle responsivity and cognitive processing predict earwitness speaker identification.

This study was inspired by the case of a robbery victim who was startled and reminded of the crime upon hearing a stranger's voice, while not clearly recognizing the speaker. To investigate whether specific voices can modulate startle reactions and thereby predict speaker identification, we presented an audio hijack scenario to 84 participants and afterwards asked them to identify the perpetrator among neutral and negative speech fragments, while measuring flash-evoked eye-blink startle responses. Furthermore, we addressed data-driven cognitive processing during the audio scenario as a potential moderator in voice discrimination. Negative speech and the perpetrator's voice led to potentiated startle. Enhanced startle was positively associated with voice discrimination, but only in neutral speech fragments. In negative fragments, this association was weakened as a function of self-reported levels of data-driven processing during encoding. Thus, startle responses can generally predict accurate voice recognition, but speech emotionality and cognitive processing moderate this relationship.

Masking the Identities of Celebrities and Personally Familiar Individuals: Effects on Visual and Auditory Recognition Performance.

The current study compared the effectiveness of masking on recognition performance for faces and voices of celebrities and personally familiar individuals. On the basis of the theory suggesting stronger memory representations for personally familiar individuals, we expected masking to be more effective for celebrities than for personally familiar stimulus persons. Furthermore, we sought to replicate the face recognition advantage with masked stimuli. Face pixelation and electronic changes of the voice pitch were applied as masking techniques, using four masking levels for each stimulus. Thirty-one undergraduate students were presented with the masked faces and voices of 10 celebrities and 10 personally familiar fellow students. As expected, more correct recognitions occurred for faces than for voices, suggesting that masking does not counteract the mechanisms causing the face recognition advantage. Unexpectedly, masking effectiveness did not differ between celebrities and personally familiar individuals. This may be due to the type of personally familiar individuals used. Within personally familiar stimuli, increased familiarity did not predict the effectiveness of masking. Whereas the highest masking level eliminated speaker recognition, masking did not fully eliminate face recognition. From a practical perspective, the findings especially question the suitability of pixelation as a means for identity concealment.