World's Best Scientists 2026 revealed!
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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
111
Citations
60643
World Ranking
214
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2018 - IEEE Fellow For contributions to computer audition
  • 2017 - ACM Senior Member

Overview

Björn Schuller is affiliated with Imperial College London in the United Kingdom. Their research primarily lies within the field of Computer Science, with a strong focus on several subfields including Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Computer Vision and Pattern Recognition, and Radiology, Nuclear Medicine and Imaging.

The scientist's work spans multiple topics in audio and speech technology, emotion recognition, and healthcare applications. Key research topics include:

  • Music and Audio Processing
  • Speech and Audio Processing
  • Emotion and Mood Recognition
  • Speech Recognition and Synthesis
  • COVID-19 diagnosis using AI
  • Sentiment Analysis and Opinion Mining
  • Phonocardiography and Auscultation Techniques

Recent publications highlight ongoing research contributions in areas related to digital healthcare and affective computing. Selected papers include:

  • The promise of digital healthcare technologies, 2023, Frontiers in Public Health
  • Affective Image Content Analysis: Two Decades Review and New Perspectives, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT, 2023, IEEE Intelligent Systems
  • Sentiment Analysis and Topic Recognition in Video Transcriptions, 2021, IEEE Intelligent Systems
  • Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring, 2021, IEEE Signal Processing Magazine

In terms of collaborative work, Björn Schuller frequently coauthors with a number of researchers including Andreas Triantafyllopoulos, Shahin Amiriparian, Alice Baird, Kun Qian, and Lukas Stappen.

The scientist publishes extensively, with significant numbers of papers appearing in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • IEEE Transactions on Affective Computing
  • Frontiers in Digital Health
  • 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Björn Schuller has also authored books, including the publication "Human-Centred Computer Audition: Sound, Music, and Healthcare" in 2023, published by Frontiers Media.

Their career includes recognition in the form of awards such as:

  • IEEE Fellow, 2018, for contributions to computer audition
  • ACM Senior Member, 2017

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

  • New Avenues in Opinion Mining and Sentiment Analysis

    E. Cambria;B. Schuller;Yunqing Xia;C. Havasi

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

    Florian Eyben;Felix Weninger;Florian Gross;Björn Schuller

  • The INTERSPEECH 2009 Emotion Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner

  • Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network

    George Trigeorgis;Fabien Ringeval;Raymond Brueckner;Erik Marchi

  • Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

    Björn Schuller;Anton Batliner;Stefan Steidl;Dino Seppi

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

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

  • Hidden Markov model-based speech emotion recognition

    B. Schuller;G. Rigoll;M. Lang

  • End-to-End Multimodal Emotion Recognition Using Deep Neural Networks

    Panagiotis Tzirakis;George Trigeorgis;Mihalis A. Nicolaou;Bjorn W. Schuller

  • The INTERSPEECH 2010 Paralinguistic Challenge

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Felix Burkhardt

  • AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

  • Speech Enhancement with LSTM Recurrent Neural Networks and its Application to Noise-Robust ASR

    Felix Weninger;Hakan Erdogan;Shinji Watanabe;Emmanuel Vincent

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

    Michel Valstar;Björn Schuller;Kirsty Smith;Florian Eyben

  • A survey of multimodal sentiment analysis

    Mohammad Soleymani;David García;Brendan Jou;Björn W. Schuller;Björn W. Schuller;Björn W. Schuller

  • Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture

    B. Schuller;G. Rigoll;M. Lang

  • Introduction

    Unknown

  • Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends

    Björn W. Schuller

  • 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

  • Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond

    Dimitrios Kollias;Panagiotis Tzirakis;Mihalis A. Nicolaou;Athanasios Papaioannou

Frequent Co-Authors

Florian Eyben
Florian Eyben 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
Nicholas Cummins
Nicholas Cummins King's College London
Martin Wöllmer
Martin Wöllmer Technical University of Munich
Fabien Ringeval
Fabien Ringeval Grenoble Alpes University
Stefan Steidl
Stefan Steidl MorphoSys (Germany)
Maja Pantic
Maja Pantic Imperial College London
Roddy Cowie
Roddy Cowie Queen's University Belfast

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