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Soc-Project

Details regarding timeline and progress in the project

  • Completed basics of python videos on you tube and also started the libraries like numpy,panda,matplotlib.
  • Started watching the TensorFlow Package on you Tube & also read about an article on how to perform automatic music generation.
  • Completed Tensor Flow Package and the article.
  • Learning and Understanding the code and applying some tweaks to see the results.

Musify: Music-Composition using Artificial Intelligence

The aim of ths Project was to create new piece of music using Piano Notes

About the Project

File Structure

  • albeniz/ : This is the dataset folder containing various midi files of different composers.
  • Code File for Musify.ipynb : In this file, we will build, train and test our model.
  • MOD/ : This directory contains optimizer, metrics, and weights of our trained model.
  • AI_composed_music.mid : This is a music file of predicted notes.
  • Python basics and Libraries Practice Files/ : Contains various files related to python libraries and basics made while learning and practice.
  • Tensor_Flow_basics_and_Regression.ipynb : Contains code related to Tensor Flow made while learning and practice.
  • Musify Presentation.pptx : Final Presentation of the Project.
  • Final Document SOC-Musify.docx
  • Final Video SOC-Musify.webm

Follow the steps and compose music using AI

  • STEP 1 : Download the files from the repository by clicking on Code button
  • STEP 2 : Install Libraries using pip command (In Anaconda Prompt)
  • STEP 3 : Open code.ipynb file using Jupyter Notebook / Visual Studio Code
  • STEP 4 : Run all the cells one by one and check the output
  • STEP 5 : Wait for the model training as it takes about 7-8 hours
  • STEP 6 : Run the last cell and a file named as AI_composed_music.mid will be saved
  • STEP 7 : Play the file AI_composed_music.mid
  • STEP 8 : You have composed your own music by using AI. Some of the parameters can be tweaked in the code for different results.

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