Acoustic Beamforming Using Machine Learning

This paper shows how two microphones in an endfire array configuration was used to perform beamforming. The setup uses two condenser microphones and a sound card to allow multiple sources to be input to the computer at the same time. A cross-correlation calculation was used to determine the time shift between the two mics. Using the Delay and Sum algorithm, the time shift can be corrected, and the mic signals can be added to a superposition.