Embedded Files
Step-by-Step Pipeline
Step-by-Step Pipeline
- Sound Input
The microphone is like a magic ear.
It listens for your snap, clap, or knock and turns those sounds into numbers that a computer can understand.
2. Noise Measurement
2. Noise Measurement
Before guessing your sound, the device checks if the room is quiet or noisy—like deciding if you need to whisper or shout.
3. Model Selection
3. Model Selection
The device picks which 'brain' to use: a normal brain for quiet places, and a superhero brain for noisy ones.
4. Feature Extraction
4. Feature Extraction
The computer looks for clues in your sound, like detectives searching for fingerprints.
It checks how spiky, bright, or bumpy your sound wave is!
5. Classification
5. Classification
Now, the device matches your sound clues to its memory: “Was that a snap, clap, or knock?
6. Game Logic
6. Game Logic
The board checks if you got it right, flashes the LED, and shows feedback.
If you make a mistake, it shows 'Game Over'—if you get everything right, you win!
Topics to Explore
Topics to Explore
How microphones convert sound to signals?
What are MFCCs and why do they help computers recognize sound?
How does machine learning work on small devices?
What is serial communication?
How do engineers make devices robust to noise?
For Curious Fans
For Curious Fans
Try recording your own dataset: What features change when you snap vs. clap?
Modify the game logic: Make “Simon” faster, slower, or add new rules.
Investigate how noise affects recognition—experiment in different environments.
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