This project demonstrates basic audio signal processing using Python. It includes reading, analyzing, and visualizing .wav audio files with the help of popular libraries like NumPy, SciPy, and Matplotlib.
- Load and process
.wavaudio files - Convert stereo to mono
- Plot and visualize waveforms
- Prepare audio data for further DSP tasks
- Python
- NumPy
- SciPy
- Matplotlib
- Clone the repository:
git clone https://github.com/yourusername/audio-processing-demo.git cd audio-processing-demo
pip install -r requirements.txt
audio-processing-demo/ βββ test.ipynb # Main notebook for audio processing βββ sample_audio/ # Folder for test audio files (you can add your own) βββ README.md # Project documentation βββ requirements.txt # List of Python packages
(Include a waveform plot image here if available)
1.Add noise reduction techniques
2.Implement filtering (low-pass, high-pass)
3.Apply FFT for frequency analysis
4.Explore modulation/demodulation