Cognitive Hearing Aid Filters Out the Noise
From: ECN Magazine - 08/07/2017

People who are hearing impaired have a difficult time following a
conversation in a multi-speaker environment such as a noisy restaurant or a
party. While current hearing aids can suppress background noise, they cannot
help a user listen to a single conversation among many without knowing which
speaker the user is attending to. A cognitive hearing aid that constantly
monitors the brain activity of the subject to determine whether the subject
is conversing with a specific speaker in the environment would be a dream
come true.

Using deep neural network models, researchers at Columbia Engineering have
made a breakthrough in auditory attention decoding (AAD) methods and are
coming closer to making cognitively controlled hearing aids a reality.

Read the entire article at:
https://www.ecnmag.com/news/2017/08/cognitive-hearing-aid-filters-out-noise
https://www.medicaldesignbriefs.com/component/content/article/1106-mdb/tech-briefs/27716-cognitive-hearing-aid-filters-out-the-noise

Links:
Neural decoding of attentional selection in multi-speaker environments
  without access to clean sources
http://naplab.ee.columbia.edu/nnaad.html
http://iopscience.iop.org/article/10.1088/1741-2552/aa7ab4/meta

Nima Mesgarani
http://nima.ee.columbia.edu
http://www.ee.columbia.edu/nima-mesgarani