Voice-Face-Aging-Prediction

Project Overview

Voice-Face-Aging-Prediction is an early-stage research project exploring how to predict healthy aging conditions using voice and facial expression data. The goal is to develop a multimodal machine learning framework that supports early screening and health assessment, especially in cognitive and emotional aging.

Objectives

• Analyze voice features that may reflect language and cognitive decline
• Examine facial expression changes and emotional responses
• Combine voice and facial data for multimodal aging prediction

Current Progress

• Data collection and annotation
• Feature extraction (voice + face)
• Model selection and initial experiments
• Evaluation metrics and experiment design

Project Structure (tentative)

Voice-Face-Aging-Prediction/
├── data/             # Voice and facial expression datasets
├── scripts/          # Preprocessing and model scripts
├── notebooks/        # Exploratory data analysis and testing
├── README.md
└── requirements.txt  # Dependencies (not yet created)

Future Directions

• Model training and validation
• Multimodal learning framework integration
• Prototype demo system

Health