1. A method comprising: reading an audio source, wherein the audio source represents a combined audio signal that comprises a plurality of component signals; generating, based on the audio source, a plurality of pulse-code modulation (PCM) samples; fragmenting the PCM samples into a plurality of PCM sample fragments; for each particular PCM sample fragment of the plurality of PCM sample fragments: transforming the particular PCM sample fragment into a spectrogram; processing the spectrogram into one or more spectrogram fragments; inputting the one or more spectrogram fragments into a deep neural network; generating, by the deep neural network, one or more binary mask fragments wherein each binary mask fragment of the one or more binary mask fragments corresponds to one or more component signals of the plurality of component signals; using the one or more binary mask fragments to estimate the plurality of component signals; wherein the method is performed using one or more processors.