Sound processing python project

Sound is nothing but a vibration in a medium that is propagating in a form of wave. We all know this very obvious definition of sound, right? We know music applications and software which visualize the music or audio or sound and display it on the screens in real-time which is wow! The basic need for visualizing the audio is for analyzing purposes. I know it is too fascinating to look at what audio looks like. 

As fascinating it is to look at the visualization, believe me, it is even more fascinating to code a program to visualize audio. Python has made our lives easier by reducing coding efforts with libraries such as NumPy, Pandas, and also Sci-Py. Hence, visualizing audio is not much a task for a regular coder who has some knowledge about python and its libraries. 

Read more..

Given below are some easy steps to guide you through the project to visualize a live stream of audio through a microphone. We will display the real-time audio by matplotlib. 

Knowledge required: Python and its libraries, and Fourier transform (for those who are planning to build audio spectrum)

Tools needed: An IDE (suggested: Anaconda)

Latest projects on Python

Want to develop practical skills on Python? Checkout our latest projects and start learning for free

Libraries imported: PyAudio, Struct, Numpy, and matplotlib.

  1. Start by installing PyAudio and import the libraries mentioned above.
  2. You must know that we have imported the struct library to unpack our audio data into integers instead of binary numbers.
  3. Next, you will have to create and set some audio variables which will be later used to plot the graph.
  4. Create a new variable to mention in count how many audio samples per frame will be displayed in real-time.
  5. Create another variable for channels and set it to one. And then another variable for the rate which will be the count of samples per second.
  6. Create an instance of PyAudio, this will be our main object and this will set up the portaudio system.
  7. Now use, stream the audio, and read the file.
  8. Run the program and you will see some complicated bytes displayed on your screen.

To prevent this convert these bytes into integers using unpack(). Now, you are expected to get a tuple of integers.

  1. Plot a graph of these integers using the. plot() function and pass the respective arguments. The graph will not give you a very perfect visual of the audio data in one go. You will have to manipulate it several times to get these desired waveforms. Try manipulating it by using array from NumPy and slice the array in such a way if every sample is moving down to 0 then after slicing take every other point in the array and throw the rest. 
  2. Now to display the continuous waveform of the audio data in matplotlib plot, create a line. Update the line using a loop. Create a variable that will be used for plotting and also create a line object and code in a way that you obtain the continuous wave. 

The waveform you will obtain will be fascinating but to obtain clear peaks of the audio tones passed you can create an audio spectrum. For that, you can use the Py’s FFT algorithm and for more details visit SciPy’s FFT pack documentation available on the web.

How to build Python projects Did you know

Skyfi Labs helps students learn practical skills by building real-world projects.

You can enrol with friends and receive kits at your doorstep

You can learn from experts, build working projects, showcase skills to the world and grab the best jobs.
Get started today!

Kit required to develop Sound processing python project:
Technologies you will learn by working on Sound processing python project:
Sound processing python project
Skyfi Labs Last Updated: 2021-07-03

Join 250,000+ students from 36+ countries & develop practical skills by building projects

Get kits shipped in 24 hours. Build using online tutorials.

More Project Ideas on Python

Face recognition using Raspberry Pi
Linux Based Medication remainder
Ultrasonic beats player
Automated door opener with lighting control
IoT based theft detection using Raspberry Pi
Wheelchair wih safety system
Raspberry Pi osilloscope
Health monitoring using Raspberry pi
Automatic Green house system
Wheel combined robotic suspension system
Bank Account Management System using SQL and C++
Content Aggregation Project using Python
URL Shortener
Develop An Expense Tracking System using Python
Mp3 Player using Python
Simple Chat room using Python
Folder sorter according to files extensions using Python
Batch Image editor using Python
Password Generator and Manager using Python
Web Scrapper (Amazon Price Tracker)
Bird Species detection using Python
Develop An Online CV Builder using Python
Online Job Portal using Python and SQL database
Social Media Site using Python (Django)
Driver Drowsiness detection using Python
Traffic recognition using python
Website Blocker using python
Speech Emotion Recognition using Python
Speed Typing test with Python
Gender and Age Detection using Python
Pharmacy management using Python
Virtual Notebook - Python project
Find My Professor
How to Develop a TIC TAC TOE game using Python
Admission tracking system
Assignment submission system using Python
Smart feedback system using Python
Data collection tool using Python
Language translator and converter using Python
Automatic Brand LOGO detection using Python
Rock, paper, scissor game using python
Youtube video downloader with Tkinter UI python project
Instagram bot using python
Desktop notifier app using python
Spotify song downloader using python
Jarvis Personal assistant using Python
Sound processing python project
Develop a Supermarket Billing System with Python
Desktop voice assistant project

Subscribe to receive more project ideas

Stay up-to-date and build projects on latest technologies