The Memorability of Voices is Predictable and Consistent across Listeners
Cambria Revsine, Esther Goldberg, Wilma Alice Bainbridge
This study shows that voice memorability is consistent across listeners and can be predicted by voice features.
Author
University of ChicagoORCID 0000-0002-7624-4357Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
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Cambria Revsine, Esther Goldberg, Wilma Alice Bainbridge
This study shows that voice memorability is consistent across listeners and can be predicted by voice features.
Cambria Revsine, Javier González-Castillo, Elisha P. Merriam…·Fernando Ramírez
The paper presents a network model that explains both concordant and discordant results in human neuroimaging studies of facial viewpoint selectivity by incorporating biological constraints and analyzing low-level stimulus biases.
Cambria Revsine, Wilma Alice Bainbridge
This study shows that feedback-based training improves human ability to judge scene image memorability but not face image memorability, falling short of a leading deep learning model's performance.