On learning associations of faces and voices
In this paper, we study the associations between human faces and voices. Audiovisual integration, specifically the integration of facial and vocal information is a well-researched area in neuroscience. It is shown that the overlapping information between the two modalities plays a significant role i...
Main Authors: | Kim, Changil, Shin, Hijung Valentina, Oh, Tae-Hyun, Kaspar, Alexandre, Elgharib, Mohamed, Matusik, Wojciech |
---|---|
Other Authors: | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory |
Format: | Article |
Language: | English |
Published: |
Springer Nature
2020
|
Online Access: | https://hdl.handle.net/1721.1/124778 |
Similar Items
-
Speech2Face: Learning the Face Behind a Voice
by: Oh, Taehyun, et al.
Published: (2021) -
Crowd-Guided Ensembles: How Can We Choreograph Crowd Workers for Video Segmentation?
by: Kaspar, Alexandre, et al.
Published: (2021) -
Learning-Based Video Motion Magnification
by: Oh, Tae-Hyun, et al.
Published: (2021) -
Video Reflection Removal Through Spatio-Temporal Optimization
by: Nandoriya, Ajay, et al.
Published: (2021) -
Data Driven 2-D-to-3-D Video Conversion for Soccer
by: Calagari, Kiana, et al.
Published: (2021)