Abstract: Monaurally-recorded mono or stereo recordings may be processed and converted into binaurally-recorded audio recordings. An analog process of performing this involves output of at least subsets of the monaurally-recorded recording, such as isolated instrument/vocal tracks, to be played to a dummy with two microphones. A digital process of performing this includes simulating audio input from simulated locations corresponding to audio sources. A neural network process of performing this includes training a neural network using speakers and microphones and then automating conversion from monaural audio to binaural audio based on the training of the neural network. The neural network can also be trained with output speakers to eliminate or reduce dead zones and/or speaker crosstalk.