This is a voice recognition app that uses the K-Nearest Neighbors (KNN) machine learning algorithm and Mel Frequency Cepstral Coefficients (MFCC) to extract features from the voice. The app is designed to recognize spoken words and phrases and accurately transcribe them into text.
- Real-time voice recognition and transcription
- Ability to recognize multiple languages and dialects
- Customizable voice recognition settings for accuracy and speed
- User-friendly interface
- MATLAB
- K-Nearest Neighbors (KNN) machine learning algorithm
- Mel Frequency Cepstral Coefficients (MFCC)
To use this app, you'll need to follow these steps:
- Clone the repository onto your local machine
- Install MATLAB on your machine if it's not already installed
- Open the MATLAB project file and run the app
To use this app, simply speak into your device's microphone and the app will recognize your voice and transcribe it into text. You can adjust the settings for accuracy and speed by going into the app's settings.
If you'd like to contribute to this project, feel free to submit a pull request. We welcome contributions from anyone who is interested in improving this app.
If you have any questions or feedback about this app, please feel free to contact us at ismailbenalla52@gmail.com.