Séminaire « Neural Signal Interpretation for Spoken Communication » – 25/04/2024

On Thursday 25 April at 11am, we will host a talk from Prof. Tanja Schultz on « Neural Signal Interpretation for Spoken Communication ».
The room will be defined later.
Please find below a short abstract and bio from Prof. Tanja Schultz.


This talk presents advancements in decoding neural signals, providing further insights into the intricacies of spoken communication. Delving into both speech production and speech perception, we discuss low latency processing of neural signals from surface EEG, stereotactic EEG, and intracranial EEG using machine learning methods. Practical implications and human-centered applications are considered, including silent speech interfaces, neuro-speech prostheses, and the detection of auditory attention and distraction in communication. This presentation aims to spark curiosity about the evolving landscape of neural signal interpretation and its impact on the future of spoken communication.


Tanja Schultz received the diploma and doctoral degrees in Informatics from University of Karlsruhe and a Master degree in Mathematics and Sport Sciences from Heidelberg University, both in  Germany. Since 2015 she is Professor for Cognitive Systems of the Faculty of Mathematics & Computer Science at the University of Bremen, Germany. Prior to Bremen she spent 7 years as Professor for Cognitive Systems at KIT (2007-2015) and over 20 years as Researcher (2000-2007) and adjunct Research Professor (2007-2022) at the Language Technologies Institute at Carnegie Mellon, PA USA. In 2007, she founded the Cognitive Systems Lab (CSL) where she and her team combine machine learning methods with innovations in biosignal processing to create technologies such as « Silent Speech Communication » and « Brain-to-Speech ».

Professor Schultz is a recognized scholar in the field of multilingual speech recognition and cognitive technical systems, is a Fellow of the IEEE, elected in 2020 “for contributions to multilingual speech recognition and biosignal processing”; a Fellow of the International Speech Communication Association, elected in 2016 “for contributions to multilingual speech recognition and biosignal processing for human-machine interaction”; a Fellow of the European Academy of Science and Arts (2017), and a Fellow of the Asian-Pacific Artificial Intelligence Association (2021). She is the elected spokesperson of the University Bremen high-profile area “Minds, Media, Machines” and speaker of the DFG Research Unit “Lifespan AI: From longitudinal data to lifespan inference in health”.