This project was created by Kevin Chau, Kevin Tai, Rohan Kondetimmanahalli, and Dhruv Verma. A blog post detailing more about the project can be found here: https://medium.com/@dhruvverma/music-transcription-using-a-convolutional-neural-network-b115968829f4

An outline for our project was as follows:

1. Find raw audio file as input
2. Create a spectrogram from the raw audio file
3. Time slice spectrogram image into intervals
4. Feed the CNN a slice of the image as input
5. Take the output of the CNN and turn it into a MIDI file
6. Restitch each of the sliced outputs into one MIDI file

The restitched MIDI file is the transcribed version of the initial raw audio file.

Tools required to run this project: Tensorflow, Keras, fluidsynth, Pillow, mido, pretty-midi