Emotion recognition in speech, driven by advances in neural network methodologies, has emerged as a pivotal domain in human–machine interaction.

Affectiva, the global leader in Artificial Emotional Intelligence, today announced its new cloud-based API for measuring emotion in recorded speech.

Researchers have developed an AI system that takes into account both audio and video data in classifying the emotional states of people.

This model, introduced in a paper published in Mobile Networks and Applications, was trained to recognize emotions in human speech by analyzing different relevant features.