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Björn W. Schuller

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.SD1
  • eess.AS1
same name
  • Björn W. Schuller — 42 papers
  • Björn W. Schuller — 12 papers, h 20
  • Björn W. Schuller — 3 papers, h 7
  • Björn W. Schuller — 3 papers
  • Björn W. Schuller — 3 papers
  • Björn W. Schuller — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CL2026

Feature-Augmented Transformers for Robust AI-Text Detection Across Domains and Generators

Mohamed Mady, Johannes Reschke, Björn Schuller

AI-generated text is nowadays produced at scale across domains and heterogeneous generation pipelines, making robustness to distribution shift a central requirement for supervised…

eess.AS2026

Explainable Speech Emotion Recognition: Weighted Attribute Fairness to Model Demographic Contributions to Social Bias

Tomisin Ogunnubi, Yupei Li, Björn Schuller

Speech Emotion Recognition (SER) systems have growing applications in sensitive domains such as mental health and education, where biased predictions can cause harm. Traditional fa…

cs.CL2026

Neuron-Level Emotion Control in Speech-Generative Large Audio-Language Models

Xiutian Zhao, Ismail Rasim Ulgen, Philipp Koehn +2

Large audio-language models (LALMs) can produce expressive speech, yet reliable emotion control remains elusive: conversions often miss the target affect and may degrade linguistic…

cs.SD2025

DFALLM: Achieving Generalizable Multitask Deepfake Detection by Optimizing Audio LLM Components

Yupei Li, Li Wang, Yuxiang Wang +5

Audio deepfake detection has recently garnered public concern due to its implications for security and reliability. Traditional deep learning methods have been widely applied to th…

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