So, What is the Cocktail Party Problem? The cocktail party effect is the phenomenon of the brain’s ability to focus one’s auditory attention (an effect of selective attention in the brain) on a particular stimulus while filtering out a range of other stimuli.
— Wiki We’ve all experienced this in our life, mostly when a lot of noise surrounds us. Either during lunchtime in the canteen or while walking in a busy street surrounded by a lot of traffic. The Cocktail Party problem is related to how we separate out the individual signal. Just like how researchers approach the deep learning problem, the next question we need to ask is how does the human brain do that. Well, one of the reasons is because of how we focus on visual feedback such as their face, their movement or their body language. That, of course, is visual feedback on top of the auditory attention. In this article, we are trying to solve the cocktail party problem using deep learning. We are going to refer the paper: Looking to Listen at the Cocktail Party . 链接地址： https://medium.com/pytorch/addressing-the-cocktail-party-problem-using-pytorch-305fb74560ea