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Computer Science

D-Index
31
Citations
6481
World Ranking
13411
National Ranking
349

Overview

Fabien Ringeval is affiliated with Grenoble Alpes University in France, with a research focus primarily in the field of Computer Science. Their work spans multiple subfields, including Artificial Intelligence, Signal Processing, Experimental and Cognitive Psychology, Cognitive Neuroscience, and Computer Vision and Pattern Recognition.

Their research encompasses a range of topics, notably Natural Language Processing Techniques, Speech Recognition and Synthesis, Topic Modeling, Emotion and Mood Recognition, Music and Audio Processing, Speech and Audio Processing, and Face Recognition and Analysis.

Fabien Ringeval has published extensively, including in venues such as arXiv (Cornell University), IEEE Signal Processing Magazine, Computer Speech & Language, JMIR Rehabilitation and Assistive Technologies, and Frontiers in Digital Health.

Recent notable papers include:

  • LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech (2021, arXiv (Cornell University))
  • On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview (2021, IEEE Signal Processing Magazine)
  • LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech (2024, Computer Speech & Language)
  • Effectiveness of French Language Models on Abstractive Dialogue Summarization Task (2022, arXiv (Cornell University))
  • The Value of a Virtual Assistant to Improve Engagement in Computerized Cognitive Training at Home: Exploratory Study (2024, JMIR Rehabilitation and Assistive Technologies)

Frequent collaborators of Fabien Ringeval include:

  • François Portet
  • Sina Alisamir
  • Solange Rossato
  • Hippolyte Fournier
  • Marco Dinarelli

Best Publications

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

    George Trigeorgis;Fabien Ringeval;Raymond Brueckner;Erik Marchi

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

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

  • Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions

    Fabien Ringeval;Andreas Sonderegger;Juergen Sauer;Denis Lalanne

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

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

  • AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge

    Fabien Ringeval;Björn Schuller;Michel Valstar;Jonathan Gratch

  • AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

    Fabien Ringeval;Björn Schuller;Michel Valstar;Nicholas Cummins

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

    Fabien Ringeval;Florian Eyben;Eleni Kroupi;Anil Yuce

  • SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

    Jean Kossaifi;Robert Walecki;Yannis Panagakis;Jie Shen

  • AV+EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data

    Fabien Ringeval;Björn Schuller;Michel Valstar;Shashank Jaiswal

  • The INTERSPEECH 2014 Computational Paralinguistics Challenge: Cognitive & Physical Load

    Björn W. Schuller;Stefan Steidl;Anton Batliner;Julien Epps

  • AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition

    Fabien Ringeval;Björn Schuller;Michel Valstar;Roddy Cowie

  • At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech.

    Maximilian Schmitt;Fabien Ringeval;Björn W. Schuller

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

    Michel Valstar;Jonathan Gratch;Bjorn Schuller;Fabien Ringeval

  • Enhanced semi-supervised learning for multimodal emotion recognition

    Zixing Zhang;Fabien Ringeval;Bin Dong;Eduardo Coutinho

  • Automatic Intonation Recognition for the Prosodic Assessment of Language-Impaired Children

    F Ringeval;J Demouy;G Szaszak;M Chetouani

  • AVEC 2015: The 5th International Audio/Visual Emotion Challenge and Workshop

    Fabien Ringeval;Bjoern Schuller;Michel Valstar;Roddy Cowie

  • Exploiting a Vowel Based Approach for Acted Emotion Recognition

    Fabien Ringeval;Mohamed Chetouani

  • Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio

    Felix Weninger;Fabien Ringeval;Erik Marchi;Björn Schuller

  • LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

    Solène Evain;Ha Nguyen;Hang Le;Marcely Zanon Boito

  • Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks.

    Zixing Zhang;Fabien Ringeval;Jing Han;Jun Deng

  • Affective and Behavioural Computing: Lessons Learnt from the First Computational Paralinguistics Challenge

    Björn W. Schuller;Björn W. Schuller;Björn W. Schuller;Felix Weninger;Yue Zhang;Yue Zhang;Fabien Ringeval

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

    Michel Valstar;Jonathan Gratch;Björn Schuller;Fabien Ringeval

Frequent Co-Authors

Björn Schuller
Björn Schuller Imperial College London
Maja Pantic
Maja Pantic Imperial College London
Roddy Cowie
Roddy Cowie Queen's University Belfast
Michel Valstar
Michel Valstar University of Nottingham
Mohamed Chetouani
Mohamed Chetouani Sorbonne University
Jonathan Gratch
Jonathan Gratch University of Southern California
Nicholas Cummins
Nicholas Cummins King's College London
Florian Eyben
Florian Eyben Technical University of Munich
Anton Batliner
Anton Batliner University of Erlangen-Nuremberg
Klaus R. Scherer
Klaus R. Scherer University of Geneva

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