This repository presents a speech-to-intent system for stroke/aphasia patients, converting audio into actionable intents. It utilizes Python, JavaScript, CSS, and HTML, and is powered by HuBERT & Wav2Vec2 models on Microsoft Azure.
From the README
Speech-to-Intent Assistive System 🎤🧠 A patient-focused speech-to-intent assistive system designed for stroke/aphasia patients. The system converts short audio recordings into actionable intents, enabling caregivers to quickly understand and respond to patient needs. Built for Microsoft Imagine Cup - Powered by HuBERT & Wav2Vec2 models on Azure ML --- 📋 Table of Contents • Overview • Features • System Architecture • Supported Intents • Tech Stack • Getting Started • Prerequisites • Backend Setup • Frontend Setup • API Documentation • Audio Requirements • Project Structure • Configuration --- 🎯 Overview This assistive system enables patients with speech difficulties to communicate...
Skills
- Python
- JavaScript
- CSS
- HTML
- aphasia
- healthcare
- stroke
- imagine-cup
- imaginecup
- microsoft-azure
