Swahili Text-to-Speech App

🌍 Bridging the Gap in AI for African Languages 🌍

This project aims to address a critical gap in AI—language bias, especially for African languages like Swahili. Despite the current AI revolution, African languages are underrepresented in many tech systems, resulting in fewer solutions that cater to African communities.

We fine-tuned Facebook's MMS Text-to-Speech (TTS) model for Swahili, using a small dataset of a native speaker's voice. This demonstrates how, even with limited data, we can improve AI performance and reduce biases for low-resource languages.

This Swahili TTS project is just the beginning—it can be adapted for other African languages and use cases like voice cloning. It's a call to action for African developers to contribute to open-source projects like this, which are vital for creating community-driven solutions.

Together, we can shape the future of AI in Africa! 🚀