SuaraNusa Machine Learning Model

SuaraNusa Machine Learning Model is a machine learning model that is used to predict sound classification.

Introduction

SuaraNusa Machine Learning Model is a machine learning model that is used to predict sound classification. The dataset used in this project is obtained from web scraping. The list of songs is obtained from Dianisa and the songs are downloaded from Youtube.

Dataset

The dataset used in this project is obtained from web scraping. The list of songs is obtained from Dianisa and the songs are downloaded from Youtube.

Technologies

• Python
• requests
• Jupyter Notebook
• beautifulsoup4
• Pandas
• youtube_search
• pytube
• ffmpeg
• pydub
• Scikit-learn
• Tensorflow
• Keras
• Librosa
• Numpy
• Matplotlib

Installation

1. Clone the repo

   git clone (https://github.com/SuaraNusa/python-suara-nusa-model

2. Install the required packages

   pip install -r requirements.txt

Usage

Note: You must open Jupyter Notebook using Visual Studio Code or Jupyter Notebook

1. Web Scraping

Open file scraping_song_list.ipynb and run the code to get the list of songs.

2. Download Songs

Open file scraping.ipynb and run the code to download the songs.

3. Feature Extraction and Training

In this project, there are three machine learning models that you can use:

• main.ipynb for SVM model
• tf_main.ipynb for Neural Network model
• tl_main.ipynb for Neural Network model with Transfer Learning

License

Distributed under the MIT License. See LICENSE for more information.