Active noise cancellation of various noisy environments, especially construction sites, using advanced deep learning.

There are many commercialized active noise cancellation (ANC) headphones and headsets that try to reduce unwanted background noise. You can simply listen to your favorite music or talking with your loved ones in crowed areas using them without any distractions. The overall working principle of them is to generate an inverse signal to unwanted noise to neutralize it inside the ear drum. These devices are specially produced for single users. But how about cancelling excessive noise in car passengers’ cabin or working places that loud machineries are working? In this research, we are going to build an ANC device suitable for open space environment to cancel any kind of undesirable noise while keeping human voice unchanged using advanced AI algorithms. The developed device can be used in factories, construction sites, libraries, hospitals and residential buildings in densely populated downtown areas.

Faculty Supervisor:

Young-jin Cha

Student:

Partner:

North Forge

Discipline:

Engineering

Sector:

Education; Management of companies and enterprises; Professional, scientific and technical services

University:

University of Manitoba

Program: