31.10.2025
Björn Schuller Receives SIGMM Test of Time Paper Award
Recognizing His Pioneering Work on OpenSMILE
MCML PI Björn Schuller received the ACM SIGMM Test of Time Paper Award for the paper "openSMILE: The Munich Versatile and Fast Open-Source Audio Feature Extractor."
Originally published at ACM Multimedia 2010, the paper introduced openSMILE, a versatile open-source toolkit for extracting features from audio signals. The award recognizes the work's lasting impact and influence on multimedia research, development, and applications.
Congratulations on this outstanding achievement!
Related
26.08.2026
Transparency for Global Health Aid
MCML PI Stefan Feuerriegel and his team use machine learning to uncover disparities in the global allocation of health aid.
25.08.2026
David Rügamer: We Need Uncertainty Quantification
MCML PI David Rügamer explains why uncertainty quantification is essential for building trustworthy AI and making informed decisions.
24.08.2026
Using Data Science to Personalize Depression Care
Five young researchers explore how data science can contribute to better healthcare as part of DSSGx Munich 2026, supported by MCML.