clap-detector 2.0.1

A clap detector that can detect claps in patterns of single, double, etc.

Clap Detection System

Overview

This project implements a clap detection system using an a mic or raw audio data as input. It can detect calp patterns including single and double claps.

Features

• Clap pattern detection.
• Dynamic threshold adjustment for robust clap detection.
• Bandpass filtering to focus on clap frequencies.
• Audio recording and saving capabilities.

Requirements

• Python3
• PyAudio
• NumPy
• SciPy

Installation

1. Install the required Python packages:

   pip install pyaudio numpy scipy
   

2. Clone the repository:

   git clone https://github.com/TzurSoffer/clapDetection/
   cd clapDetection
   

3. Run the clap detection script:

   python clapDetector.py
   

Configuration

• Adjust parameters in the ClapDetector class constructor to fine-tune the clap detection system.

Usage

1. Run the script using bash python clapDetector.py.

2. The system will continuously monitor audio input and detect claps.

Troubleshooting

• If there are issues with audio input, check the device index in the ClapDetector constructor.

• Adjust the bandpass filter parameters for better clap detection in different environments.

License

This project is licensed under the MIT License - see the LICENSE file for details.