🎵 Audio Fingerprinting TMA Project

An academic project developed by Tasbih, Muhammed, and Amina, designed to perform real-time audio recognition using signal processing and mobile integration. The system detects and identifies music tracks from short recorded clips by converting audio to spectral fingerprints and matching them in a backend database.

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🧠 How It Works

The system is split into two major components:

📱 Flutter Mobile App

• Record a short audio snippet using the device microphone.
• Send the clip to the backend server.
• Receive the closest matching audio result (e.g., song name).
• Modern UI with favorites, playback, and recording history.

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🖥️ Python Server (Backend)

The backend is responsible for:

• Audio Fingerprinting – Transforming sound waves into compact, unique digital "fingerprints."
• Matching – Comparing input fingerprints to a stored database using fast hashing techniques.
• Response – Returning a JSON with the best match and confidence level.

🔬 Techniques Implemented

1. Short-Time Fourier Transform (STFT)
   Breaks audio into overlapping windows → transforms each to frequency domain.

2. Constant-Q Transform (CQT)
   Like STFT, but uses a logarithmic frequency scale, improving low-frequency resolution.

3. MFCCs (Mel-Frequency Cepstral Coefficients)
   Captures human-perceived frequency features for compact signal representation.

Backend uses Python, NumPy, and LibROSA.
See: server/README.md for more on scripts and tools.

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📊 System Architecture

Figure 1: Audio flows through a fingerprinting process → hash → matching → result.

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📈 Signal Processing Visuals

1. Spectrogram in 3D

Visualizes frequency over time + amplitude in 3D.

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2. Spectrogram with Peak Detection

Used to extract fingerprint-relevant peaks.

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3. Waveform to Frequency Spectrum

Raw waveform (left) → frequency domain (right).
This FFT process is foundational for fingerprinting.

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📁 Project Structure

📦 Audio-Fingerprinting-TMA/

├── 📁 android/ # Flutter Android project

├── 📁 lib/ # Flutter source code (UI, logic)

├── 📁 assets/ # App images and fonts

├── 📁 server/ # Python backend (fingerprinting + matching)

├── 📄 pubspec.yaml # Flutter dependencies

└── 📄 README.md

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👥 Authors

Name	Role
Tasbih Abboud	Project Lead & Flutter Developer
Muhammed Masarwa	Backend Developer (Python)
Amina Haj Yahya	UI/UX + QA & Testing

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📌 Project Notes

• Created as a final senior-year project.
• Built for educational and demonstration purposes.
• Source code may contain legacy or unfinished components.

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🔗 Acknowledgments

• LibROSA – Music and audio analysis in Python
• NumPy – Scientific computing
• Flutter – Cross-platform mobile framework

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📨 Contact

For inquiries or collaboration: github.com/Mhemd139