music-inference

Using an OWL Ontology and neural network to classify songs and recreate them in different genres.

Setup:

Install Necessary Dependencies

owlready2: OWL python API

documentation and project site: https://pypi.org/project/Owlready2/
pip3 install Owlready2

music21: MIDI and musicology libraries

documentation and project site: http://web.mit.edu/music21/doc/index.html
pip3 install music21
dependency: matplotlib
pip3 install matplotlib

BeautifulSoup: web scraping

documentation and project site: https://www.crummy.com/software/BeautifulSoup/bs4/doc/
pip3 install beautifulsoup4

pandas: data analysis & manipulation

documentation and project site: http://pandas.pydata.org/pandas-docs/stable/
pip3 install pandas

requests: http library

documentation and project site: https://2.python-requests.org/en/master/
pip3 install requests

tensorflow: machine learning library

documentation and project site: https://www.tensorflow.org/
pip3 install tensorflow

keras: wrapper API for tensorflow

documentation and project site: https://keras.io/
pip3 install keras

Import libraries as needed in a python script

import owlready2 as owl
import music21 as music
from bs4 import BeautifulSoup
import pandas as pd
import requests
from keras import Sequential

TODO:

Figure out inputs, layers, outputs, etc.
Train our network.

Resources and Examples:

MIDI instruments and their associated roles