The project aims to use the latest advances in deep learning to tackle the problem of speech separation from one or more microphones. The goal of the project will be to produce separated audio from a mixed input using high dimensional embedding and time-frequency masking methods.
Lab: Neural acoustic processing Lab
Direct Supervisor: Nima Mesgarani
Position Dates: 5/27/2019 - 9/1/2019
Hours per Week: 20
Paid Position: Yes
Number of positions: 2
Qualifications: Deep learning, speech and audio signal processing