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Within ERIK, a German nationally funded research project about robot interaction with autistic children, audEERING is developing software to analyse and express emotional speech

Well, I think you can imagine what happened next. We placed microphones in the conference room and recorded the audience throughout the screening. Then we passed the acquired data to ExamAIner which is a web application using the emotion recognition audEERING technology in the backend.

This week we will cover two more applications of gamer monitoring: Game Testing, and Streamers Feedback.

Ever wondered what it would be like to have your own personal assistant follow you around wherever you go? Everyone that owns a smartphone or personal computer must have come in touch with one of the many voice assistants out there.

If you have been following our gaming blogs, there is a chance that you have also wondered about the other applications of emotion recognition in the video game industry. Today, we will talk about another application: Gamer monitoring.

How should a robot sound? We're getting surrounded by talking machines, but are their voices adequate?

By Pascal Hecker, Junior Healthcare Researcher at audEERING and Luca Pettinari, Junior AI Researcher at audEERING and MSc Student in Biomedical Engineering at Università Politecnica delle Marche

Text to speech synthesis has made tremendous progress during the past years, but speaking style is still a challenge.

Likability is not a speaker trait but an individual evaluation of a recipient which makes it an important issue for profitable speech communication.

Imagine being on a train while you are on your way to work, listening to music without any disturbing sounds from your surroundings. Sounds too good to be true? It is in fact possible, if you have the right headphones.