Automated real-time analytics for multi-party dialogues

• Main Author: See, Yihui
• Other Authors: Justin Dauwels
• Format: Final Year Project
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/64184
• Institution: Nanyang Technological University

This project explores the idea of detecting high-level features, which includes human personality and emotion, based on low-level prosodic cues displayed in a conversation. After listening to audio recordings lasting 2 minutes long each, participants were made to rate the high-level features display...