Machine Learning for Speech Enhancement

The core value of Nureva is to provide reliable and easy-to-use audio-conferencing products that offer a good user experience and maximize productivity. The unique Microphone Mist™ technology unlocks new possibilities to pick up audio from anywhere in the room. One subtopic of this research is to investigate ML as it relates to sound event localization and detection so we can track when and where a person is talking in the room. As a result, this can allow virtual microphones to be activated near the talker while attenuating noises in the room. The other topic is to investigate ML for the purpose of improving the sound signature coming out of the virtual microphones and improve the overall intelligibility. Consequently, better audio experience can be achieved to allow efficient collaborations.

Faculty Supervisor:

Gerald Penn

Student:

Partner:

Nureva Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program:

Accelerate

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