activity
20142025
most citedDawn of the transformer era in speech emotion recognition: closing the valence gap

348 citations · 467 across the 16 of their papers we have counts for

collaborators
Showing cs.CLShow all

5 papers · 1 filter

cs.CL2025

Speech-Based Depressive Mood Detection in the Presence of Multiple Sclerosis: A Cross-Corpus and Cross-Lingual Study

Monica Gonzalez-Machorro, Uwe Reichel, Pascal Hecker +5

Depression commonly co-occurs with neurodegenerative disorders like Multiple Sclerosis (MS), yet the potential of speech-based Artificial Intelligence for detecting depression in s…

cs.CL2025

Am I Blue or Is My Hobby Counting Teardrops? Expression Leakage in Large Language Models as a Symptom of Irrelevancy Disruption

Berkay Köprü, Mehrzad Mashal, Yigit Gurses +6

Large language models (LLMs) have advanced natural language processing (NLP) skills such as through next-token prediction and self-attention, but their ability to integrate broad c…

cs.CL2022★ 25 cited

Probing Speech Emotion Recognition Transformers for Linguistic Knowledge

Andreas Triantafyllopoulos, Johannes Wagner, Hagen Wierstorf +5

Large, pre-trained neural networks consisting of self-attention layers (transformers) have recently achieved state-of-the-art results on several speech emotion recognition (SER) da…

cs.CL2019★ 4 cited

On Laughter and Speech-Laugh, Based on Observations of Child-Robot Interaction

Anton Batliner, Stefan Steidl, Florian Eyben +1

In this article, we study laughter found in child-robot interaction where it had not been prompted intentionally. Different types of laughter and speech-laugh are annotated and pro…

cs.CL2014★ 6 cited

A Broadcast News Corpus for Evaluation and Tuning of German LVCSR Systems

Felix Weninger, Björn Schuller, Florian Eyben +2

Transcription of broadcast news is an interesting and challenging application for large-vocabulary continuous speech recognition (LVCSR). We present in detail the structure of a ma…