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Björn W. Schuller

10 papers hereh-index 3252 citations17 works total

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

author position
  • middle author1
  • last author9

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.SD3
  • cs.AI1
  • cs.HC1
  • cs.LG1
  • eess.AS1
same name
  • Björn W. Schuller — 21 papers, h 20
  • Björn W. Schuller — 14 papers, h 4
  • Björn W. Schuller — 12 papers, h 3
  • Björn W. Schuller — 7 papers
  • Björn W. Schuller — 6 papers, h 8
  • Björn W. Schuller — 5 papers, h 7

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

activity
20212026
most citedProbing Speech Emotion Recognition Transformers for Linguistic Knowledge

25 citations · 49 across the 10 of their papers we have counts for

collaborators
Showing cs.SDShow all

3 papers · 1 filter

cs.SD2024★ 1 cited

Wav2Small: Distilling Wav2Vec2 to 72K parameters for Low-Resource Speech emotion recognition

Dionyssos Kounadis-Bastian, Oliver Schrüfer, Anna Derington +4

Speech Emotion Recognition (SER) needs high computational resources to overcome the challenge of substantial annotator disagreement. Today SER is shifting towards dimensional annot…

cs.SD2024

Are you sure? Analysing Uncertainty Quantification Approaches for Real-world Speech Emotion Recognition

Oliver Schrüfer, Manuel Milling, Felix Burkhardt +2

Uncertainty Quantification (UQ) is an important building block for the reliable use of neural networks in real-world scenarios, as it can be a useful tool in identifying faulty pre…

cs.SD2023★ 4 cited

Speech-based Age and Gender Prediction with Transformers

Felix Burkhardt, Johannes Wagner, Hagen Wierstorf +2

We report on the curation of several publicly available datasets for age and gender prediction. Furthermore, we present experiments to predict age and gender with models based on a…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.