https://github.com/dizzydroid/asu_digitalaudiofilteringprjct

Digital Audio Filtering Project: A Python-based toolkit for manipulating and analyzing audio signals, offering time and frequency domain visualizations and customizable filtering options.
https://github.com/dizzydroid/asu_digitalaudiofilteringprjct

audio-filtering audio-processing butterworth-filter digital-signal-processing fourier-transform python signal-processing

Last synced: about 2 months ago
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Digital Audio Filtering Project: A Python-based toolkit for manipulating and analyzing audio signals, offering time and frequency domain visualizations and customizable filtering options.

• Host: GitHub
• URL: https://github.com/dizzydroid/asu_digitalaudiofilteringprjct
• Owner: dizzydroid
• License: mit
• Created: 2024-01-03T11:54:48.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-27T12:02:29.000Z (10 months ago)
• Last Synced: 2024-05-29T15:03:34.718Z (7 months ago)
• Topics: audio-filtering, audio-processing, butterworth-filter, digital-signal-processing, fourier-transform, python, signal-processing
• Language: Jupyter Notebook
• Homepage:
• Size: 1.55 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🎵 Audio Filtering Project



 



## Overview

👉 This project focuses on developing a code that filters an audio file from the computer’s disk. It plots the audio signal in both time and frequency domains for both the input and output signals.

### Features

- 📁 Read an audio file from the hard disk.

- 📊 Plot the audio signal in the time domain.

- 🌐 Represent and plot the audio signal in the frequency domain.

- 🔊 Apply a filter (either a Low-Pass Filter or High-Pass Filter) to modify the frequency components.

- 📈 Plot the filtered signal in the frequency domain.

- 💾 Save the filtered signal in the time domain as an audio file on the hard disk.

## Repository Contents

- `audio_filter.py` - The main Python script for audio filtering.

- `Audio_Filtering.ipynb` - Jupyter Notebook with detailed documentation and plots.

- `Documentation.pdf` - Project documentation.

## Usage

👩‍💻 The Python script can be accessed [here](audio_filter.py). For a detailed explanation and visualization, refer to the [Jupyter Notebook](Audio_Filtering.ipynb).

> [!NOTE]

The `input.wav` file is not included in this repo, you should provide one to run the script, otherwise you could just check the outputs of our tested Notebook.

## Dependencies

- Numpy

- Matplotlib

- SciPy

## Demonstration

🎥 A video presentation of the filter in action is available (AR) in the attached [documentation](Documentation.pdf)

## References

- [SciPy Documentation](https://docs.scipy.org/)

- [Scipy Signal Butter Function](https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.butter.html)

## Team Members

- [dizzydroid](https://github.com/dizzydroid)

- [DopeBiscuit](https://github.com/DopeBiscuit)

- [Youssef9112](https://github.com/Youssef9112)

- [seifelwarwary](https://github.com/seifelwarwary)

- [OmarMamon20](https://github.com/OmarMamon20)

## License

📜 [MIT License](LICENSE)

## Contact

💬 For any queries, feel free to reach out!