Equalizer - Signal Processing

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Table of contents

• Introduction
• Brief Explanation
• Features
• Preview
• How to Run The Project
• Team

Introduction

• Website used for Equalizing audios (reducing and increasing specific audios according to the chosen mode of operation) through Signal Processing.

Brief Explanation

• We process the signal by scaling a range of frequencies based on Decibel scale after applying Fast Fourier Transfrom on the audio uploaded, After the changes we invert the changed frequencies back to Time Domain then convert it back into audio format.

• Our application works in different modes such as:

  • Uniform Range Mode: The sampling frequency of the input audio (44.1k Hz) we divide it by 2 to get the maximum frequency then divide it uniformly into 8 equal ranges of frequencies, each is controlled by one slider in the UI.
  • Vowels Mode: Each slider can control the magnitude of specific vowel.
  • Musical Instruments Mode: Each slider can control the power of a specific musical instrument.
  • Animals Mode: Each slider can control the magnitude of a specific animal sound.

Features

Optimized software & fast processing speed Clean audio reconstruction Live dynamic plotting

Quick updates on spectrogram

Run the Project

1. Install Python3 on your computer

Download it from www.python.org/downloads/

2. Install the following modules
   • numpy
   • streamlit
   • matplotlib
   • pandas
   • numpy
   • scipy
   • altair
   • streamlit.components.v1

• Open Project Terminal & Run the following command

pip install moudle-name

3. Start Server by Running

streamlit run main.py

Team

Equalizer

Digital Signal Processing (SBE3110) class project created by:

Team Members' Names	Section	B.N.
Mohamed Ahmed Ismail	2	16
Romaisaa Sherif	1	36
Mariam Wael	2	36
Mariam Megahed	2	32

Submitted to:

• Dr. Tamer Basha & Eng. Abdallah Darwish

All rights reserved © 2022 to our Team - Systems & Biomedical Engineering, Cairo University (Class 2024)