Björn W. Schuller
is Full Professor & Head of the Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany,
Professor of Artificial Intelligence & Head of GLAM - Group on Language, Audio & Music, Imperial College London, London/U.K,
Chief Scientific Officer (CSO) and Co-Founding CEO, audEERING GmbH, Gilching/Germany,
Visiting Professor, School of Computer Science and Technology, Harbin Institute of Technology, Harbin/P.R. China.
See for his publications or find some information on other details by using the menu bar above or search below.
Impressions.
Professorship
Harbin Institute of Technology/PR China.
Dagstuhl
An organised Seminar on Computational Audio Analysis.
Consultancy
Joanneum Research in Graz/Austria.
iBug group
Imperial College London/UK.
Present
The 2015 Mobile Speech Analyser.
Recently
The 2012 Speech Emotion Recogniser.
Early Days
The 2002 Speech Emotion Recogniser.
The Beginning
Early 2000 Multimodal Interface for Music Retrieval.
Learn to Teach
Graduation ceremony of TUM's 2-year advanced teaching course.
Awards
Interspeech Closing Ceremony.
Speech Science
Speech Recognition Day invitees.
AAAC Executives
AAAC Presidential Generations & Executives.
Latest Tweets
Calling for 4 page White Papers by 1 Nov 2020 for an IEEE Signal Processing Magazine Special Issue on Intelligent Signal Processing for Affective Computing we (Björn Schuller, Rosalind Picard, Elisabeth André, Jonathan Gratch, Jianhua Tao) are editing: https://t.co/8esKdRme0g
We're calling for contributions on Health Technologies and Innovations to Effectively Respond to the COVID-19 Pandemic in a Special Issue: https://t.co/RmOneMPryD
We're calling for contributions to an IEEE Transactions on Network Science and Engineering Special Issue on Efficient Network Design for Convergence of Deep Learning and Edge Computing: https://t.co/kIcQ0Gwx4t
Calling for contributions to a new IEEE Journal on Selected Topics in Signal Processing Special Issue on Signal Analaysis for Detection and Monitoring of Contagious Diseases: https://t.co/lKGr3KHWfV - Prepublishing on IEEE's texrxiv is encouraged.
The Multimodal Sentiment Challenge (MuSe 2020) released the baseline paper: https://t.co/4B4ps4XwvR - consider participating: https://t.co/BE2keuXOoi