Project Title: KannadaKalisu: Intelligent Pronunciation Correction for Kannada Language Learning
Project Description:
KannadaKalisu is an open-source project aimed at improving language learning outcomes for students in government schools by providing intelligent pronunciation correction support for the Kannada language. The project utilizes state-of-the-art machine learning techniques and audio signal processing to enable real-time feedback on pronunciation accuracy.
Key Features:
-
Audio Processing: Utilizes the librosa library for audio signal processing, extracting Mel-Frequency Cepstral Coefficients (MFCC) features from spoken words in Kannada.
-
Machine Learning: Leverages TensorFlow/Keras for building and training deep learning models capable of recognizing correct and incorrect pronunciations based on extracted MFCC features.
-
Web Application: Implements a user-friendly web interface using Flask/Django, allowing students to input spoken words and receive instant feedback on pronunciation accuracy.
-
Real-time Feedback: Employs real-time audio processing techniques to provide immediate feedback to users, enabling them to improve their pronunciation skills interactively.
How to Contribute:
Contributions to KannadaKalisu are welcome and encouraged! Here are some ways you can contribute:
-
Code Contributions: Help improve the project by contributing code enhancements, bug fixes, or new features.
-
Testing and Feedback: Test the application and provide feedback on usability, performance, and accuracy.
-
Documentation: Contribute to improving the project's documentation, including README files, code comments, and usage guides.
-
Localization: Extend support for additional languages or dialects beyond Kannada.
Getting Started:
To get started with KannadaKalisu, follow these steps:
- Clone the repository to your local machine.
- Install the necessary dependencies listed in the README file.
- Run the application locally and start experimenting with pronunciation correction.
License:
This project is licensed under the MIT License, allowing for free use, modification, and distribution.
Acknowledgments:
Special thanks to the contributors and open-source communities that have provided valuable insights, libraries, and resources to make KannadaKalisu possible.
Contact:
For questions, feedback, or collaboration opportunities, please contact this email.
Feel free to customize the project description with additional details or features specific to your implementation of KannadaKalisu.