While we moved from command and control to current speech assistants such as Alexa, Bixby, or Siri, these still feel far from fiction such as in Knight Rider, Iron Man, Her, or Ex Machina. Largely unnoticed, however, A.I. is quite further down the road when it comes to Artificial Emotional and Social Intelligence for Spoken Language Interfaces. This concerns in particular the rich already possible analysis of speaker states and traits such as hearing our age, personality, emotion, heart rate, or information on our health state. But “deep” neural networks also already learnt to speak, and to exploit such knowledge in their reaction in a dialogue, for example, to appear more charismatic or empathic.
In this talk, we will discuss the silent transformation of spoken language interfaces towards increased anthropomorphism, and where one can soon expect them to move by upcoming reinforced learning interacting with millions of users at scale from Europe to China and beyond.
Prof. Dr. Björn W. Schuller – FIEEE, CSO – University of Augsburg & Imperial College London & audEERING
Bitte beachten Sie: Der Vortrag findet an einem anderen Ort (siehe oben) und in englischer Sprache statt. Eine Anmeldung per Mail an culture-china∂intl.kit.edu ist erforderlich.
Veranstaltung im Rahmen des vom BMBF geförderten Projektes CuLTURE China – The KIT Competence Network for Innovation in Cultural Learning and Training in a University and Research Environment.
https://www.zak.kit.edu/colloquium_fundamentale.php
Datum/Zeit
Date(s) - 29.06.2019
18:30 - 20:00
Veranstaltungsort
Festsaal des Studentischen Kulturzentrums am KIT
Kategorien