A smart audio signal processing system designed to record audio, remove background noise, filter unwanted frequencies, and analyze signal accuracy with clear visual charts and results.
This project focuses on audio signal cleaning and analysis using digital signal processing techniques.
It records or accepts audio input, analyzes frequency components, removes noise, and evaluates the accuracy of the cleaned signal.
The system is suitable for audio enhancement, signal processing learning, noise reduction applications, and data visualization projects.
- 🎙️ Audio Recording & Input Processing
- 🔇 Background Noise Reduction
- 🎚️ Frequency-Based Signal Filtering
- 📊 Accuracy Measurement of Cleaned Audio
- 📈 Waveform & Frequency Spectrum Visualization
- 💾 Save Processed Audio & Analysis Results
- ⚙️ Configurable frequency ranges for filtering
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Python
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NumPy
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SciPy
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Audio Processing Libraries
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Matplotlib
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Signal Processing Techniques
git clone https://github.com/your-username/smart-audio-signal-analyzer.git
cd smart-audio-signal-analyzer
pip install -r requirements.txt
python main.py
- Capture or load an audio signal
- Analyze raw audio waveform and frequency spectrum
- Identify background noise and unwanted frequencies
- Apply frequency filtering and noise reduction
- Generate cleaned audio output
- Compare original vs processed signal
- Display accuracy metrics and visual charts
- Store processed audio and results
- Audio quality enhancement systems
- Noise cancellation and filtering tools
- Signal processing academic projects
- Audio analysis and visualization platforms
Gowtham K
Cyber Security Student | Software & Automation Project Developer
Passionate about building practical, real-world projects in software development, automation, cyber security, and signal processing.
Open to internships, freelance work, and collaborative projects.
✔️ Core functionality implemented
🚀 Enhancements and optimizations in progress
Feel free to reach out for collaboration, improvements, or project discussions.