The benefit of binaural hearing in a cocktail party: effect of location and type of interferer.

By M. Hawley, R. Litovsky, J. Culling. Journal of the Acoustical Society of America, 2004

545 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Speaker-Independent Speech Separation With Deep Attractor Network (2017, background): “Humans are particularly adept at this task, even in the absence of any spatial separation between speakers [3], [4], [5].”
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation (2020, background): “Inspired by the fact that humans benefit from binaural cues [90], Gao and Grauman [69] proposed a method to exploit visual information with the aim of converting monaural audio into binaural audio.”