ML_based_analysis_of_sound

Machine Learning-Based Analysis of Music and Sound in Martial Arts Films

Project tasks

Setup

Install prequisites on your machine git, python3, pip, make

# Create virtual environment
python -m venv .venv

# On Linux/Mac:
source .venv/bin/activate   

# On Windows (cmd.exe)
.venv\Scripts\activate.bat

# On Windows (PowerShell)
. .venv\Scripts\Activate.ps1

# Upgrade pip tooling (recommended)
python -m pip install --upgrade pip setuptools wheel

# Install base project dependencies
python -m pip install -r requirements.txt

# Install the local package for module-style imports in notebooks/scripts
pip install -e .

# If your environment blocks network during build isolation:
# pip install -e . --no-build-isolation

Activate environment (venv) on every terminal session

Setup dataset

Film Dataset

Add the film test dataset here: data/test/a-touch-of-zen

IRMAS dataset (Pretraining)

Download IRMAS train and test datasets here and add it here: data/IRMAS.

Train Dataset

Download from teams and place in data/train

Setup Dataset

Documentation

Generate Features

Train Models

Config Layout

Source Separation

Repository Structure

Dataset

Training Log