/Music-Genre-Classification

The Mini Project for Semester 5 : Vidyalankar Institute of Technology

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Music-Genre-Classification

The Mini Project for Semester 5 : Vidyalankar Institute of Technology

CONTENTS OF THIS FILE

  • Introduction
  • Requirements
  • Installation
  • Configuration
  • Project Team

INTRODUCTION

  • Everyone loves to listen to music but it is unable to classify for a normal person that what type of genre is it or how exactly it sounds. How Classical sounds Classical, jazz like jazz and so on.

  • Through this project we are tried to provide a visual representation of how each music looks and the way they differ from each other. With help of some Machine Learning and Deep learning algorithms we executed the following project.

  • And for the Dataset we have used the GTZAN Music Dataset which contain over 1000 songs of 30 seconds along with 10 genres

REQUIREMENTS

This module requires some machine learning and deep learning libraries like:

  • Tensorflow/Keras
  • Librosa
  • python_speech_features
  • Scipy
  • Sklearn

INSTALLATION

This project doesn't require any installation so you just have to clone the repository and run the notebooks

CONFIGURATION

Configurable parameters:

  • Configure the Dataset folder path before executing the codes
  • Create Three json files in the folder that you have cloned the project with names:
  • data.json
  • datarnn.json
  • datamlp.json

PROJECT TEAM