AI for Real-Time Speech Accessibility

What is the main goal for this project?
This project investigates how artificial intelligence can support inclusive communication by improving speech recognition systems for individuals with atypical speech patterns. The goal is to develop an intelligent system that transcribes and enhances speech clarity in real-time, contributing to more accessible and supportive technologies in health and communication contexts.

What tasks will learners need to complete to achieve the project goal?

• Organize and preprocess speech audio data for training and evaluation.
• Analyze transcription outputs and identify areas for model improvement.
• Support the benchmarking and testing of speech-to-text pipelines.
• Assist in deploying APIs for real-time speech recognition services.
• Contribute to system components that aid in enhancing speech clarity.

These tasks help learners build skills at the intersection of AI, accessibility, and digital health.

How will you support learners in completing the project?
Learners will receive structured mentorship from professionals in machine learning and natural language processing. They will have access to curated datasets, development tools, and documentation templates. Weekly check-ins and milestone reviews will ensure steady progress and hands-on experience in building socially impactful AI solutions.