World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
18294
World Ranking
4207
National Ranking
184

Overview

Florian Eyben is affiliated with the Technical University of Munich in Germany. Their academic work largely intersects with Computer Science, with a specific focus on Artificial Intelligence, General Health Professions, Signal Processing, Experimental and Cognitive Psychology, and Physiology.

Their research outputs span several main topics including:

  • Speech Recognition and Synthesis
  • Voice and Speech Disorders
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Music and Audio Processing
  • Emotion and Mood Recognition
  • Hermeneutics and Narrative Identity

Florian Eyben has published extensively in various venues, with a notable number of publications appearing in:

  • arXiv (Cornell University)
  • Frontiers in Digital Health
  • Interspeech 2022
  • Frontiers in Computer Science
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent publications reflect contributions to speech emotion recognition, voice analysis for neurological disorders, and linguistic conditioning in speech processing. Selected papers include:

  • "Voice Analysis for Neurological Disorder Recognition-A Systematic Review and Perspective on Emerging Trends," 2022, Frontiers in Digital Health
  • "Probing speech emotion recognition transformers for linguistic knowledge," 2022, Interspeech 2022
  • "Multistage linguistic conditioning of convolutional layers for speech emotion recognition," 2023, Frontiers in Computer Science
  • "Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Multistage linguistic conditioning of convolutional layers for speech emotion recognition," 2021, arXiv (Cornell University)

Florian Eyben frequently collaborates with other researchers in the field. Their main frequent co-authors include:

  • Björn W. Schuller
  • Felix Burkhardt
  • Hagen Wierstorf
  • Andreas Triantafyllopoulos
  • Uwe D. Reichel

The profile of Florian Eyben illustrates a focused engagement with technology-driven approaches to understanding and processing speech, emotion, and health-related voice analysis, supporting interdisciplinary advances in artificial intelligence and health professions through computational methods.

Best Publications

  • Opensmile: the munich versatile and fast open-source audio feature extractor

    Florian Eyben;Martin Wöllmer;Björn Schuller

  • The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing

    Florian Eyben;Klaus R. Scherer;Bjorn W. Schuller;Johan Sundberg

  • Recent developments in openSMILE, the munich open-source multimedia feature extractor

    Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller

  • The INTERSPEECH 2013 computational paralinguistics challenge: social signals, conflict, emotion, autism

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Alessandro Vinciarelli

  • AVEC 2013: the continuous audio/visual emotion and depression recognition challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben

  • OpenEAR — Introducing the munich open-source emotion and affect recognition toolkit

    Florian Eyben;Martin Wollmer;Bjorn Schuller

  • AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge

    Michel Valstar;Björn Schuller;Kirsty Smith;Timur Almaev

  • Cross-Corpus Acoustic Emotion Recognition: Variances and Strategies

    B Schuller;B Vlasenko;F Eyben;Martin Wöllmer

  • Abandoning Emotion Classes - Towards Continuous Emotion Recognition with Modelling of Long-Range Dependencies

    Martin Wöllmer;Florian Eyben;Stephan Reiter;Björn W. Schuller

  • AVEC 2011-the first international audio/visual emotion challenge

    Björn Schuller;Michel Valstar;Florian Eyben;Gary McKeown

  • Acoustic emotion recognition: A benchmark comparison of performances

    Bjorn Schuller;Bogdan Vlasenko;Florian Eyben;Gerhard Rigoll

  • AVEC 2012: the continuous audio/visual emotion challenge

    Björn Schuller;Michel Valster;Florian Eyben;Roddy Cowie

  • On the Acoustics of Emotion in Audio: What Speech, Music, and Sound have in Common

    Felix Weninger;Florian Eyben;Björn W. Schuller;Björn W. Schuller;Marcello Mortillaro

  • LSTM-Modeling of continuous emotions in an audiovisual affect recognition framework

    Martin WöLlmer;Moritz Kaiser;Florian Eyben;BjöRn Schuller

  • Deep neural networks for acoustic emotion recognition: Raising the benchmarks

    Andre Stuhlsatz;Christine Meyer;Florian Eyben;Thomas Zielke

  • The INTERSPEECH 2012 Speaker Trait Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Elmar Nöth

  • Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition

    Jun Deng;Zixing Zhang;Florian Eyben;Bjorn Schuller

  • A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

    Erik Marchi;Fabio Vesperini;Florian Eyben;Stefano Squartini

  • Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

    Florian Eyben;Felix Weninger;Stefano Squartini;Bjorn Schuller

  • Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

    Fabien Ringeval;Florian Eyben;Eleni Kroupi;Anil Yuce

  • Building Autonomous Sensitive Artificial Listeners

    M. Schroder;E. Bevacqua;R. Cowie;F. Eyben

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Gerhard Rigoll
Gerhard Rigoll Technical University of Munich
Felix Weninger
Felix Weninger Nuance Communications (United States)
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Maja Pantic
Maja Pantic Imperial College London
Roddy Cowie
Roddy Cowie Queen's University Belfast
Michel Valstar
Michel Valstar University of Nottingham
Klaus R. Scherer
Klaus R. Scherer University of Geneva

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