Wearable AI system can detect a conversation’s tone

MIT Researchers have developed a wearable system that uses artificial intelligence to predict if a conversation is happy, sad, or neutral based on a person’s speech patterns and vitals.

As a participant tells a story, the system can analyze audio, text transcriptions, and physiological signals to determine the overall tone of the story with 83 percent accuracy. Using deep-learning techniques, the system can also provide a “sentiment score” for specific five-second intervals within a conversation.
The algorithm runs locally on a user’s device as a way of protecting personal information.

This deep-learning system could someday serve as a “social coach” for people with anxiety or Asperger’s

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