Physiological signals could be the key to ’emotionally intelligent’ AI, scientists say

The multimodal neural network is used to predict user sentiment from multimodal features such as text, audio, and visual data. In a new study, researchers from Japan account for physiological signals in sentiment estimation while talking with the system, greatly improving the system’s performance. Credit: Shogo Okada from JAIST.

Speech and language recognition technology is a rapidly developing field, which has led to the emergence of novel speech dialog systems, such as Amazon Alexa and Siri. A significant milestone in the development of dialog artificial intelligence (AI) systems is the addition of emotional intelligence. A system able to recognize …

Be the first to comment

Leave a Reply

Your email address will not be published.