Abstract
The most crucial aspect of the learning process is memory. There is no knowledge without memory. However, mostpeople lack memory because they memorize things through rote memorization. So in this paper, we implementeda deep neural network (DNN) model that converts plain text into a song, which is done by synchronization of aMusical Instrument Digital Surface (MIDI) file or the music with the text. MIDI files are symbolic representations ofthe music score. The melodic line of the composition is normally on one of them, while the background music ison the others. Analyzing the audio to identify voice portions where a human voice is present, as well as non-voicesegments in proximity to the voice segments, is part of a method for syncing text with audio. The text segmentsof segmented text related to the audio can be recognized and synchronized to the speech segments.
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