this artificial intelligence speaks verbally and reacts to your emotions
Sciences et technologies

this artificial intelligence speaks verbally and reacts to your emotions

Hume just unveiled Evi, his new emotional intelligence AI that detects and responds to your emotions. His ability to naturally carry on a conversation in person is amazing.

Chatbots love ChatGPTChatGPT surprised by their ability to imitate human language and create the impression of written communication with a person rather than a machine. However, this form of communication is very limited. That’s why startup Hume decided to create a language model that works verbally and integrates “emotional intelligence.”

The firm just announced a $50 million fundraising and is introducing Evi, its empathetic voice interface. This artificial intelligence combines voice recognition and synthesis to be able to freely discuss spoken messages. But this technology goes much further, as Evie is able to analyze the emotions in his interlocutor’s voice, then use them to guide the content of his response and use a similar tone.

Meet Evie, an AI with emotional intelligence. In English, enable automatic translation of subtitles. © Hume A.I.

Impressive demo but limited to English

For Alan Cowen, Hume’s founder, ” The future of AI interfaces will be voice-based because voice is four times faster than typing keyboardkeyboard and carries twice as much information “Hulme’s language model was trained on data collected from one million participants from 30 countries to avoid cultural bias.

The firm has posted a demo on demo.hume.ai, but be careful. Not only is he attacked, but he only speaks English. After testing it, it turned out that realismrealism this is quite surprising. Conversation is smooth, natural, and it’s very easy to forget that this is a machine. At least as long as you keep your answers short, because they get lost pretty quickly once you’ve said more than a sentence or two and cut you off and then repeat themselves.

Hume’s AI is already showing up in the real world, such as assessing the quality of customer service calls or analyzing the emotional state of patients in a depression study.

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