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
12.11.2026
One Toolbox for Many Kinds of Uncertainty
MCML researchers introduce probly, a unified Python package for uncertainty-aware machine learning, presented orally at NeurIPS 2026.
09.11.2026
Outstanding Paper Award at EMNLP 2026 for Work on Accent Bias in Audio Language Models
A paper co-authored by MCML PI Valentin Hofmann on accent bias in audio language models won an Outstanding Paper Award at EMNLP 2026.
