2017
A case study of machine learning hardware: Real-time source separation using Markov Random Fields via sampling-based inference
ICASSP 2017accepted
We explore sound source separation to isolate human voice from background noise on mobile phones, e.g. talking on your cell phone in an airport. The challenges involved are real-time execution and power constraints. As a solution, we present a novel hardware-based sound source separation implementat…