Automated real-time analytics for multi-party dialogues
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...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2015
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| Online Access: | http://hdl.handle.net/10356/64184 |