New cognitive hearing aid filters out noise

New cognitive hearing aid filters out noise

Columbia Engineers researchers a advance new hearing machine filter out the background noise to enable those with a hearing problems to focus more fully on the person immediately talking to them. The outdoor location makes it easier to hear since the music playing at full blast , lot of conversation. People face many difficulty a following conversation in a multi-speaker environment such as a noisy restaurant or a outdoor location. 

Apply Diagram courtesy of Nima Mesgarani/Columbia Engineering, a breakthrough in auditory attention decoding methods and are coming solid to making cognitively  self-controlled hearing aids a reality. 

A deep neural network automatically amplify one speaker among many and compares each speaker with the neural data from the user's brain. The speaker that best matches the neural data is then amplified to comfort the user.

According to lead Professor Nima Mesgarani, in a connection tranfer to Digitial Journal. Now we are able to develop this system speech engineering and auditory attention decoding once we made the breakthrough in applying deep neural network models to separate speech. Speech language

therapist go ahead with treatment procedure to improve communication problems by ability or improvement. 

Almost all of our subjects said they wanted to continue to use it. The research has been published in paper and titled “Neural decoding of attentional selection in multi-speaker environments without access to clean sources.”