Stane316/Grow-Tech-waxal-asr

Research-oriented Automatic Speech Recognition (ASR) project for the Google WAXAL Challenge. Developed by Grow Tech to explore multilingual African speech recognition through reproducible experiments, robust engineering, and state-of-the-art speech models. # 🎙️ Grow Tech WAXAL ASR > **An AI Research Laboratory for Automatic Speech Recognition (ASR)** > Built for the **Google WAXAL ASR Challenge** and designed as a reusable research platform for future speech AI projects. --- # 📖 Overview Grow Tech WAXAL ASR is an open, modular and research-oriented repository dedicated to the development of high-performance Automatic Speech Recognition (ASR) systems. Although the project was initiated for the **Google WAXAL ASR Challenge**, its architecture is intentionally generic. It is designed to become a reusable AI research laboratory for future speech recognition competitions and industrial applications. The repository combines: - reproducible machine learning workflows; - modular software architecture; - comprehensive technical documentation; - experiment tracking; - AI-assisted development; - collaborative engineering practices. Rather than being a simple competition repository, this project aims to become a long-term foundation for speech AI research and development. --- # 🎯 Project Goals The project pursues several complementary objectives: - Build a competitive ASR system for the Google WAXAL ASR Challenge. - Develop a reusable research framework for future ASR competitions. - Apply software engineering best practices to AI development. - Maintain complete reproducibility of experiments. - Enable efficient collaboration between human developers and AI coding assistants. - Produce reusable components for future speech AI projects. --- # 🏆 About the Challenge The Google WAXAL ASR Challenge focuses on advancing speech recognition technologies for African languages. Participants are required to develop robust ASR models capable of accurately transcribing speech from the provided datasets. Success depends on: - data understanding; - preprocessing quality; - model selection; - experimentation; - evaluation methodology; - reproducibility. --- # 🏗️ Repository Structure ```text Grow-Tech-WAXAL-ASR/ ├── c …