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Jupyter Notebook 88.78% CSS 1.78% HTML 1.74% JavaScript 1.34% Python 6.35%

coffemidi's Introduction

CoffeMIDI

A MIDI Content Based Recomandation System

Website

http://coffemidi.com.ar/

Author:

Patricio Guinle

Motivation

To create a music search and recommendation system based on the similarity of musical characteristics that can be parameterized.

Main Notebooks

Core Functions

Dataset

Contains over 500 parameters from almost 90k MIDI files divided in:

  • instrumentation
  • drums rythm
  • instruments rythm
  • tonal range
  • dynamics
  • notes duration
  • theme duration
  • simult. notes
  • tempo
  • harmony

Web APP Usage

  • Use the box to search by Artist, Music Genre or Theme name:

Coffe MIDI Step1

  • Pick a Song between the results list:

Coffe MIDI Step2

  • Start playing with some musical parameters to discover how recomendations begin to be adjusted by them:

Coffe MIDI Step3

In the second column of the grid result you can find the Cosine Similarity value between the picked song and the closest ones in the Database. You can Also click on the 'Search' button to change the picked theme.

  • Click listen the results in order to evaluate the quality of recomendations:

Coffe MIDI Step4

You can also open a piano roll and look at the MIDI notes while playing !

Hope you enjoy it !!

coffemidi's People

Contributors

patricioguinle avatar

Watchers

 avatar

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