AIBauchi/AI-Powered-Hausa-Text-to-Speech-Model

This repository houses the development of a cutting-edge AI-powered Text-to-Speech (TTS) model tailored for the Hausa language. The project aims to create a state-of-the-art TTS system through iterative development, rigorous testing, and collaboration among machine learning engineers, data scientists, linguists, and software developers. # AI-Powered Hausa Text-to-Speech Model. **Welcome!** This document serves as a guide for the AI-Powered Hausa Text-to-Speech Model project, developed in collaboration with the AI Bauchi Community. It outlines the project goals, current progress, upcoming milestones, and communication channels. ### **Project Goal:** Develop a high-quality, AI-powered Text-to-Speech (TTS) model for the Hausa language, promoting its preservation and wider accessibility through natural-sounding voice technology. ### **Project Phases:** * **Data Collection and Preprocessing (Ongoing):** * Objective: Gather a diverse and representative dataset of Hausa speech, ensuring cultural and linguistic nuances are considered. * Progress: Currently collecting over 2000 speech samples from various speakers, dialects, and speaking styles. Data cleaning and pre-processing ongoing. * Checkpoint: Review data diversity and quality with AI Bauchi Community Leader by January 15th.' * **Model Architecture and Training (Planning):** * Objective: Choose and train a suitable TTS model architecture based on collected data and desired voice characteristics (e.g., female voice model named Amina). * Plans: Explore fine-tuning existing Coqui AI Hausa models and potentially training a custom model with additional data. * Team Meeting: Discuss model architecture options with AI Bauchi Community Leader on January 20th. * **Testing and Evaluation (Future):** * Objective: Assess the performance and naturalness of the trained model on various metrics. * Plans: Develop testing criteria and evaluation methods in collaboration with the AI Bauchi Community. * Checkpoint: Present preliminary model performance results to AI Bauchi Community on TBD . * **Deployment and Scaling (Future):** * Objective: Make the TTS model accessible for real-world applications and explore potential scaling options. * Plans: Investigate deployment platforms and consider community feedback for accessibility and usage. * Team Meeting: Discus …