Music-Genre-Classification
The Mini Project for Semester 5 : Vidyalankar Institute of Technology
CONTENTS OF THIS FILE
- Introduction
- Requirements
- Installation
- Configuration
- Project Team
INTRODUCTION
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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.
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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.
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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
- Kaushal Joshi - https://github.com/joshi-kaushal
- Siddhesh Bangar - https://github.com/SiddheshBangar
- Kaustubh Inamdar - https://github.com/Kaustubh-Inamdar
- Miheer More - https://github.com/Miheer09