The datasets in real life are much more complex. We have to first understand it, collect it from various sources and arrange it in a format which is ready for processing. This is even more difficult when the data is in an unstructured format such as image or audio. This is so because you would have to represent image/audio data in a standard way for it to be useful for analysis.

Having inspired by music and having decent understanding of the music theory, we were motivated to work on this project. Music theory (sheets) – notes are related to each other. These notes are just ways to mapping out pitches or sound waves. The common problem to tackle is to fit the model or make the model learn in such a way that it recognizes the relation between notes.