https://github.com/abhijithganesh/soundsense
SoundSense is a MEMS Arduino project leveraging state-of-the-art MEMS microphone technology. This compact device ensures precise sound detection, making it ideal for applications like voice recognition and ambient analysis. Unleash the power of sound with SoundSense
https://github.com/abhijithganesh/soundsense
esp32 internet-of-things microphone nodemcu-esp8266 websockets
Last synced: 10 months ago
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SoundSense is a MEMS Arduino project leveraging state-of-the-art MEMS microphone technology. This compact device ensures precise sound detection, making it ideal for applications like voice recognition and ambient analysis. Unleash the power of sound with SoundSense
- Host: GitHub
- URL: https://github.com/abhijithganesh/soundsense
- Owner: AbhijithGanesh
- License: agpl-3.0
- Created: 2023-12-15T14:11:30.000Z (about 2 years ago)
- Default Branch: brainstorming
- Last Pushed: 2024-01-23T18:07:23.000Z (almost 2 years ago)
- Last Synced: 2025-01-11T07:33:30.956Z (12 months ago)
- Topics: esp32, internet-of-things, microphone, nodemcu-esp8266, websockets
- Language: C++
- Homepage:
- Size: 25.4 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# SoundSense
SoundSense is an Arduino and ESP8266-based project that leverages MEMS microphone technology for audio processing. This project provides a platform for precise sound detection and analysis, making it versatile for applications such as voice recognition, ambient sound monitoring, and more.
## Features
- MEMS Microphone Integration
- Real-time Audio Processing
- Arduino and ESP8266 Compatibility
- WebSocket Communication
- Simple and Compact Design
## Getting Started
### Prerequisites
- Arduino IDE
- PlatformIO
- ESP8266 Board Support
### Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/soundsense.git
```
2. Open the project in Arduino IDE or PlatformIO.
3. Upload the code to your Arduino and ESP8266 board.
4. Connect MEMS microphones and set up your audio processing environment.
5. Install Visual Studio Code and Platform IO extension
6. The project will automatically be initiated
### Usage
- Connect to the WiFi network (SSID: "YourNetwork", Password: "YourPassword").
- Access the WebSocket server at ws://your-device-ip:81 to receive audio data.
- Explore and integrate the audio data into your applications.
### Acknowledgements
- MEMS microphone technology
- Arduino and ESP8266 communities
- PlatformIO contributors
### License
This project is licensed under the [Affero General Public License v3.0](./LICENSE) - see the LICENSE file for details.