Yash-Web599

🎉 digitron - Recognize Spoken Digits Easily

📥 Download the latest version

🌟 Overview

Digitron is a spoken digit recognition system. It uses advanced technology, such as Hidden Markov Models (HMM) and Recurrent Neural Networks (LSTM with PyTorch), to understand and process spoken digits. This makes it perfect for voice-based applications and experiments in speech recognition.

🚀 Getting Started

To use Digitron, you’ll need to download it from the Releases page. This guide will walk you through downloading and running the application with simple, clear steps.

📂 Features

• Recognizes spoken digits accurately.
• Utilizes advanced machine learning techniques.
• Built with user-friendly design principles.
• Lightweight and easy to set up.
• Compatible with various audio formats.

🔧 System Requirements

To run Digitron smoothly, ensure your system meets the following requirements:

• Operating System: Windows 10 or higher / macOS 10.13 or higher / Latest Ubuntu LTS
• Minimum RAM: 4 GB
• Processor: Dual-core or equivalent
• Storage: At least 200 MB of free space
• Python 3.6 or higher (for optional features)
• Internet connection for downloading necessary dependencies.

💻 Download & Install

1. Visit the Releases Page: Go to this page to download.
2. Select the Latest Version: You will see a list of available versions. Click on the most recent one.
3. Download the Application: Look for the file labeled Digitron_vX.X.zip (where X.X is the latest version). Click on it to start downloading.
4. Extract the Files: After downloading, locate the zip file on your computer. Right-click it and select “Extract All” to unpack the files.
5. Run the Application: Open the extracted folder and find Digitron.exe (for Windows) or Digitron.app (for macOS). Double-click it to start the application.

📊 How to Use

1. Open the Application: Double-click on the application icon.
2. Choose Input Method: You can either upload an audio file or use your microphone to speak the digits.
3. Recognition Process: Click on “Recognize” to start the digit recognition. The results will be displayed on the screen.
4. Review Results: Check the recognized digits and any confidence scores provided.

📚 Getting Help

If you run into issues or have questions:

• Documentation: Refer to the Wiki for detailed guides.
• Issues Page: Report any bugs or seek assistance on the Issues page.
• Community Support: Join the community discussions in the repository for tips and troubleshooting.

🔄 Additional Resources

• GitHub Repository: Explore the source code and updates here.
• Examples: Check out example applications and case studies that showcase how to implement Digitron in real-life scenarios.

🎉 Acknowledgements

• Special thanks to the developers and contributors who have helped make Digitron possible. Your hard work is appreciated!

Feel free to reach out if you have any feedback or suggestions for improvement. Happy digit recognition!