Sound Demixing Project

This project aims to separate different sound sources from a mixed audio recording using two techniques: spatial clustering using Mixture of Gaussian and Independent Component Analysis (ICA). The project consists of a report, source code, and an explanation video.

Getting Started

These instructions will help you get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

To run the source code, you will need the following libraries installed:

nussl
numpy

You can install these libraries using pip:

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pip install nussl numpy 

Installing

To get a copy of the project, you can either download the source code or clone the repository using git:

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git clone https://github.com/adityapwr/speech-processing.git

Usage

Click on open in colab: musicdemixing_speechprocessing.ipynb

Report

The report provides an overview of the project, including the problem statement, methodology, and results. It also includes visualizations of the separated sound sources using both techniques.

Explanation Video

The explanation video provides a detailed walkthrough of the project, including the problem statement, methodology, and results. It also includes visualizations of the separated sound sources using both techniques. (https://youtu.be/_Go6cv-EJQU)

Authors

Aditya Pawar Punit Drolia