G1ya777/Mmeslay

An Automatic Speech Recognition System for the Kabyle language. # 🎙️ Mmeslay > An Automatic Speech Recognition System for the Kabyle language with a Flutter frontend. > - Live Demo Available at --- ## 📦 The backend Code has been moved to this repository : ## 📌 Overview - This was created by training the **Squeezeformer-XS** model using the Common Voice dataset (Kabyle subset). - The model was trained, validated, and tested on a custom split of the dataset. - A language model was also trained on a text corpus composed of sentences collected from various sources, such as: - Tatoeba - MohammedBelkacem/Kabyletexts using **KenLM**. - The system was tested using various configurations of the CTC decoder: --- ## 📚 Cite Us If you use our project in your work, please cite: ```bibtex @mastersthesis{Mmeslay, author = {Aomer Gaya Ouldali}, school = {Université A. Mira de Béjaïa}, title = {Système de reconnaissance de la parole appliqué à la langue Tamazight}, year = {2023} } ```