Empathic artificial intelligence systems

A method for predicting one or more expressions in a media data, comprising:

• receiving the media data;
• inputting the received media data into a trained machine-learning model, the machine-learning model trained by a process comprising:
• displaying a predefined media content and a plurality of predefined expression tags;
• receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
• receiving a recording of the user imitating the predefined media content;
• and
• storing, as training data, the recording in association with the selected one or more expression tags;
• and
• predicting the one or more expressions in the received media data based on an output of the trained machine-learning model.

A system for predicting one or more expressions in a media data, comprising:

• one or more processors;
• and
• a memory communicatively coupled to the one or more processors and configured to store instructions that, when executed by the one or more processors, cause the system to:
• receive the media data;
• input the received media data into a trained machine-learning model, the machine-learning model trained by a process comprising:
• displaying a predefined media content and a plurality of predefined expression tags;
• receiving, from a user, a selection of one or more expression tags from the plurality of predefined expression tags;
• receiving a recording of the user imitating the predefined media content;
• and
• storing, as training data, the recording in association with the selected one or more expression tags;
• and
• predict the one or more expressions in the received media data based on an output of the trained machine-learning model.