Systems and methods for classifying music from heterogenous audio sources

A system comprising:

• at least one physical processor;
• physical memory comprising computer-executable instructions that, when executed by the physical processor, cause the physical processor to:
• access an audio stream with heterogenous audio content;
• divide the audio stream into a plurality of frames;
• generate a plurality of spectrogram patches, each spectrogram patch within the plurality of spectrogram patches being derived from a frame within the plurality of frames;
• and
• provide each spectrogram patch within the plurality of spectrogram patches as input to a convolutional neural network classifier and receiving, as output, a classification of music within a corresponding frame from within the plurality of frames.

A non-transitory computer-readable medium comprising one or more computer-executable instructions that, when executed by at least one processor of a computing device, cause the computing device to:

• access an audio stream with heterogenous audio content;
• divide the audio stream into a plurality of frames;
• generate a plurality of spectrogram patches, each spectrogram patch within the plurality of spectrogram patches being derived from a frame within the plurality of frames;
• and
• provide each spectrogram patch within the plurality of spectrogram patches as input to a convolutional neural network classifier and receiving, as output, a classification of music within a corresponding frame from within the plurality of frames.