MIT researchers build app that detects emotion in speech

Researchers from MIT have created an app that measures emotion in conversation in real-time, based on speech patterns and biological information.

The app uses deep-learning to analyse audio and determine the overall tone of the conversation with 83% accuracy.

“Imagine if, at the end of a conversation, you could rewind it and see the moments when the people around you felt the most anxious,” said student Tuka Alhanai.

“Our work is a step in this direction, suggesting that we may not be that far away from a world where people can have an AI social coach right in their pocket.”

Researchers said the app could serve as a social guideline for people with conditions such as Asperger’s.

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MIT researchers build app that detects emotion in speech