Generating Synthetic Clinical Speech Data through Simulated ASR Deletion Error

no code implementations • RaPID (LREC) 2022 • Hali Lindsay, Johannes Tröger, Mario Magued Mina, Philipp Müller, Nicklas Linz, Jan Alexandersson, Inez Ramakers

Training classification models on clinical speech is a time-saving and effective solution for many healthcare challenges, such as screening for Alzheimer’s Disease over the phone.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +1

M3TCM: Multi-modal Multi-task Context Model for Utterance Classification in Motivational Interviews

no code implementations • 4 Apr 2024 • Sayed Muddashir Hossain, Jan Alexandersson, Philipp Müller

Accurate utterance classification in motivational interviews is crucial to automatically understand the quality and dynamics of client-therapist interaction, and it can serve as a key input for systems mediating such interactions.

Classification Multi-Task Learning

MultiMediate'23: Engagement Estimation and Bodily Behaviour Recognition in Social Interactions

no code implementations • 16 Aug 2023 • Philipp Müller, Michal Balazia, Tobias Baur, Michael Dietz, Alexander Heimerl, Dominik Schiller, Mohammed Guermal, Dominike Thomas, François Brémond, Jan Alexandersson, Elisabeth André, Andreas Bulling

This paper describes the MultiMediate'23 challenge and presents novel sets of annotations for both tasks.

HUMAN: Hierarchical Universal Modular ANnotator

1 code implementation • EMNLP 2020 • Moritz Wolf, Dana Ruiter, Ashwin Geet D'Sa, Liane Reiners, Jan Alexandersson, Dietrich Klakow

A lot of real-world phenomena are complex and cannot be captured by single task annotations.

Active Learning Management