Publications

Publications

WARNING: This page contains links to pdf files that may be covered by copyright. You may browse them at your convenience in the same spirit as you may read a journal or a proceedings' article in a public library. Retrieving, copying, or distributing these files, however, may violate the copyright protection law. It is recommended that the user adheres strictly to international law in accessing these publications.


10 Novembre 2023 (source: Google Scholar)

Current h-index: 35 

Current citation count: 6828

(IF): Journal Impact Factor according to Journal Citation Reports, Thomson Reuters

(IF*): Conference Impact Factor according to http://citescholar.org.

Acceptance rates and impact factors of satellite workshops may be subsumed with the main conference.

 

Download references as a LaTeX .bib file or as PDF in ACM, IEEE format.

 

1. Fabien Ringeval, Björn Schuller, Michel Valstar, Nicolas Cummins, Roddy Cowie, and Maja Pantic, editors. Proceedings of the 9th International Workshop on Audio/Visual Emotion Challenge, AVEC'19, co-located with MM 2019, Nice, France, October 2019. ACM.

2. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic, editors. Proceedings of the 8th International Workshop on Audio/Visual Emotion Challenge, AVEC'18, co-located with MM 2018, Seoul, Korea, October 2018. ACM.

3. Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, and Maja Pantic, editors. Proceedings of the 7th International Workshop on Audio/Visual Emotion Challenge, AVEC'17, co-located with MM 2017, Mountain View (CA), USA, October 2017. ACM.

4. Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, and Maja Pantic, editors. Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, AVEC'16, co-located with MM 2016, Amsterdam, The Netherlands, October 2016. ACM.

5. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic, editors. Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, AVEC'15, co-located with MM 2015, Brisbane, Australia, October 2015. ACM.

1. Fabien Ringeval. Ancrages et Modèles Dynamiques de la Prosodie : Application à la Reconnaissance des Émotions Actées et Spontanées. PhD thesis, Université Pierre et Marie Curie, Paris, France, 2011. 217 pages.

2. Fabien Ringeval. Analyse de Scènes Sonores : Extraction et Caractérisation d'Informations de Haut-niveau. Master's thesis, Université Pierre et Marie Curie, Paris, France, 2006. 57 pages.

1. Erik Marchi, Yue Zhang, Florian Eyben, Fabien Ringeval, and Björn Schuller. Autism and Speech, Language, and Emotion – a Survey. In Hemant Patil, Amy Neustein, and Manisha Kulshreshtha, editors, Signal and Acoustic Modeling for Speech and Communication Disorders, volume 5 of Speech Technology and Text Mining in Medicine and Healthcare, chapter 6, pages 139–160. De Gruyter, Berlin, December 2018. invited contribution.

2. Guillaume Chanel, Denis Lalanne, Elise Lavoué, Kristine Lund, Gaëlle Molinari, Fabien Ringeval, and Armin Weinberger. Grand challenge problem 2: Adaptive awareness for social regulation of emotions in online collaborative learning environments. In J. Eberle, K. Lund, P. Tchounikine, and F. Fischer, editors, Grand Challenge Problems in Technology-Enhanced Learning II: MOOCs and Beyond, pages 13–16. SpringerBriefs in Education, 2015.

3. Erik Marchi, Fabien Ringeval, and Björn Schuller. Voice-enabled Assistive Robots for Handling Autism Spectrum Conditions: An Examination of the Role of Prosody. In Amy Neustein, editor, Speech and Automata in Health Care (Speech Technology and Text Mining in Medicine and Healthcare), pages 207–236. De Gruyter, Boston/Berlin/Munich, 2014. invited contribution.

4. Andrew Abel, Amir Hussain, Quoc Dinh Nguyen, Fabien Ringeval, Mohamed Chetouani, and Maurice Milgram. Maximising audiovisual correlation with automatic lip tracking and vowel based segmentation. In J. Fierrez, J. Ortega, A. Esposito, A. Drygajlo, and M. Faundez-Zanuy, editors, Biometric ID Management and Multimodal Communication, joint COST 2101 and 2102 International Conference, Madrid, Spain, September 16-18 2009, Lecture Notes in Computer Science, volume 5707, pages 65–72. Springer-Verlag Berlin Heidelberg, 2009. 21 citations.

5. Andrew Abel, Amir Hussain, Quoc Dinh Nguyen, Fabien Ringeval, Mohamed Chetouani, and Maurice Milgram. Maximising audiovisual correlation with automatic lip tracking and vowel based segmentation. In Biometric ID Management and Multimodal Communication, joint COST 2101 and 2102 International Conference, Madrid, Spain, September 16-18 2009, Lecture Notes in Computer Science, volume 5707, pages 65–72. ACM, 2009.

6. Fabien Ringeval and Mohamed Chetouani. Exploiting a vowel based approach for acted emotion recognition. In A. Esposito, N. Bourbakis, N. Avouris, and I. Hatzilygeroudis, editors, Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction, COST Action 2102 International Conference, Patras, Greece, October 29-31 2007, Lecture Notes in Computer Science - Lecture Notes in Artificial Intelligence, volume 5042, pages 243–254. Springer-Verlag, Berlin, 2008. 58 citations.

 

1. Sina Alisamir and Fabien Ringeval. On the Evolution of Speech Representations for Affective Computing: A brief history and critical overview. IEEE Signal Processing Magazine, 38(6):12–21, November 2021. (IF: 12.551 (2020)).

2. Jean Kossaifi, Robert Walecki, Yannis Panagakis, Jie Shen, Maximilian Schmitt, Fabien Ringeval, Jing Han, Vedhas Pandit, Björn Schuller, Kam Star, Elnar Hajiyev, and Maja Pantic. SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild. IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3):1022–1040, March 2021. (IF: 17.730 (2018), 76 citations).

3. Björn Schuller, Felix Weninger, Yue Zhang, Fabien Ringeval, Anton Batliner, Stefan Steidl, Florian Eyben, Erik Marchi, Alessandro Vinciarelli, Klaus Scherer, Mohamed Chetouani, and Marcello Mortillaro. Affective and behavioural computing: Lessons learnt from the first computational paralinguistics challenge. Computer Speech and Language, 53:156–180, January 2019. (IF: 1.900, 5-year IF: 1.938 (2016), 33 citations).

4. Arianna Mencattini, Francesco Mosciano, Maria Colomba Comes, Tania De Gregorio, Grazia Raguso, Elena Daprati, Fabien Ringeval, Björn Schuller, and Eugenio Martinelli. An emotional modulation model as signature for the identification of children developmental disorders. Scientific Reports, 8(Article ID: 14487):1–12, 2018. (IF: 4.122 (2017)).

5. Shaoling Jing, Xia Mao, Lijiang Chen, Maria Colomba Comes, Arianna Mencattini, Grazia Raguso, Fabien Ringeval, Björn Schuller, Corrado Di Natale, and Eugenio Martinelli. A closed-form solution to the graph total variation problem for continuous emotion profiling in noisy environment. Speech Communication, 104(11):66–72, November 2018. (acceptance rate: 38 %, IF: 1.585, 5-year IF: 1.660 (2017)).

6. Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, and Maja Pantic. Introduction to the special section on multimedia computing and applications of socioaffective behaviors in the Wild. ACM Transactions on Multimedia Computing, Communications and Applications, 14(1s), April 2018. Article No. 25 (IF: 2.250, 5-year IF: 2.004 (2016)).

7. Zixing Zhang, Jin Han, Jun Deng, Xinzhou Xu, Fabien Ringeval, and Björn Schuller. Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning. IEEE Access, 6, April 2018. (IF: 3.244 (2016)).

8. Arianna Mencattini, Eugenio Martinelli, Fabien Ringeval, Björn Schuller, and Corrado Di Natale. Continuous estimation of emotions in speech by dynamic cooperative speaker models. IEEE Transactions on Affective Computing, 8(3):314–327, 2017. (IF: 3.149, 5-year IF: 4.728 (2016)), 41 citations.

9. Francesco Mosciano, Arianna Mencattini, Fabien Ringeval, Björn Schuller, Eugenio Martinelli, and Corrado Di Natale. An array of physical sensors and an adaptive regression strategy for emotion recognition in a noisy scenario. Sensors and Actuators A: Physical, 267(1):48–59, November 2017. (IF: 2.499, 5-year IF: 2.478 (2016)).

10. Jing Han, Zixing Zhang, Nicholas Cummins, Fabien Ringeval, and Björn Schuller. Strength Modelling for Real-World Automatic Continuous Affect Recognition from Audiovisual Signals. Image and Vision Computing (IMAVIS), 65:76–86, September 2017. (IF: 2.671, 5-year IF: 2.939 (2016)), 39 citations.

11. Simone Hantke, Felix Weninger, Richard Kurle, Fabien Ringeval, Anton Batliner, Amr Mousa, and Björn Schuller. I Hear You Eat and Speak: Automatic Recognition of Eating Condition and Food Types, Use-cases, and Impact on ASR Performance. PLoS ONE, 11:1–24, May 2016. (IF: 2.806 (2016)), 30 citations.

12. Fabien Ringeval, Florian Eyben, Eleni Kroupi, Anil Yuce, Jean-Philippe Thiran, Touradj Ebrahimi, Denis Lalanne, and Björn Schuller. Prediction of Asynchronous Dimensional Emotion Ratings from Audiovisual and Physiological Data. Pattern Recognition Letters, 66:22–30, November 2015. (acceptance rate: 25 %, IF: 1.995, 5-year IF: 2.164 (2016), 202 citations).

13. Arianna Mencattini, Fabien Ringeval, Björn Schuller, Eugenio Martinelli, and Corrado Di Natale. Continuous monitoring of emotions by a multimodal cooperative sensor system. Procedia Engineering, Special Issue Eurosensors 2015, 120:556–559, July 2015.

14. Julie Demouy, Monique Plaza, Jean Xavier, Fabien Ringeval, Mohamed Chetouani, Didier Périsse, Dominique Chauvin, Sylvie Viaux, Bernard Golse, David Cohen, and Laurence Robel. Differential Language Markers of Pathology in Autism, Pervasive Developmental Disorders Not Otherwise Specified and Specific Language Impairment. Research in Autism Spectrum Disorders, 5(4):1402–1412, October-December 2011. (IF: 2.378, 5-years IF: 2.665 (2013), 73 citations).

15. Fabien Ringeval, Julie Demouy, György Szaszák, Mohamed Chetouani, Laurence Robel, Jean Xavier, David Cohen, and Monique Plaza. Automatic intonation recognition for prosodic assessment of language impaired children. IEEE Transactions on Audio, Speech & Language Processing, 19(5):1328–1342, July 2011. (IF: 2.625 (2013), 64 citations).

16. Mohamed Chetouani, Ammar Mahdhaoui, and Fabien Ringeval. Time-scale feature extractions for emotional speech characterisation. Cognitive Computation, 1(2):194–201, 2009. (IF: 1.1 (2013), 39 citations).

 

1. Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, and Laurent Besacier. Task Agnostic and Task Specific Self-Supervised Learning from Speech with LeBenchmark. In Proceedings of the 35th Conference on Neural Information Processing Systems, NeurIPS 2021, Bron, Czechia, December 2021. NeurIPS.

2. Hayley Hung, Cathal Gurrin, Martha Larson, Hatice Gunes, Fabien Ringeval, Elisabeth André, and Louis-Philippe Morency. Social Signals and Multimedia: Past, Present, Future. In Proceedings of the 29th ACM International Conference on Multimedia, ACM MM 2021, pages 4610–4612, Chengdu, China, October 2021. ACM.

3. Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, and Laurent Besacier. LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech. In Proceedings of INTERSPEECH 2021, 22nd Annual Conference of the International Speech Communication Association (ISCA), Online event, September 2021. ISCA.

4. Franck Tarpin-Bernard, Joan Fruitet, Jean-Philippe Vigne, Patrick Constant, Hanna Chainay, Olivier Koenig, Fabien Ringeval, Béatrice Bouchot, Gérard Bailly, François Portet, Sina Alisamir, Yongxin Zhou, Jean Serre, Vincent Delerue, Hippolyte Fournier, Kévin Berenger, Isabella Zsoldos, Olivier Perrotin, Frédéric Elisei, Martin Lenglet, Charles Puaux, Léo Pacheco, Mélodie Fouillen, and Didier Ghenassia. THERADIA: Digital Therapies Augmented by Artificial Intelligence. In Proceedings of the International Conference on Applied Human Factors and Ergonomics: Advances in Neuroergonomics and Cognitive Engineering), pages 478–485, New York, USA, August 2021. Springer.

5. Fabien Ringeval, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, and Maja Pantic. AVEC'19: Audio/Visual Emotion Challenge and Workshop. In Proceedings of the 27th ACM International Conference on Multimedia, MM 2019, pages 2718–2719, Nice, France, October 2019. ACM, ACM.

6. Fabien Ringeval, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, Mohammad Soleymani, Maximilian Schmitt, Shahin Amiriparian, Eva-Maria Messner, Leili Tavabi, Siyang Song, Sina Alisamir, Shuo Lui, Ziping Zhao, and Maja Pantic. AVEC 2019 Workshop and Challenge: State-of-Mind, Depression with AI, and Cross-Cultural Affect Recognition. In Fabien Ringeval, Björn Schuller, Michel Valstar, Nicholas Cummins, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 9th International Workshop on Audio/Visual Emotion Challenge, AVEC'19, co-located with the 27th ACM International Conference on Multimedia, MM 2019, pages 3–12, Nice, France, October 2019. ACM, ACM. 92 citations.

7. Lukas Stappen, Vincent Karas, Nicholas Cummins, Fabien Ringeval, Klaus Scherer, and Björn Schuller. From Speech to Facial Activity: Towards Cross-modal Sequence-to-Sequence Attention Networks. In Proceedings IEEE 21st International Workshop on Multimedia Signal Processing, MMSP 2019, Kuala Lumpur, Malaysia, September 2019. IEEE. (doi:10.1109/MMSP.2019.8901779)

8. François Portet, Sybille Caffiau, Fabien Ringeval, Michel Vacher, Nicolas Bonnefond, Solange Rossato, Benjamin Lecouteux, and Thierry Desot. Context-Aware Voice-Based Interaction in Smart Home - VocADom@A4H Corpus Collection and Empirical Assessment of Its Usefulness. In Proceedings of the 17th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2019, pages 811–818, Fukuoka, Japan, August 2019. IEEE.

9. Reshmashree B. Kantharaju, Fabien Ringeval, and Laurent Besacier. Automatic Recognition of Affective Laughter in Spontaneous Dyadic Interactions from Audiovisual Signals. In Proceedings of the 20th International Conference on Multimodal Interaction (ICMI 2018), pages 220–228, Boulder, CO, USA, October 2018. ACM. (long paper oral acceptance rate: 15 4%, IF* 1.77 (2010)).

10. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, Heysem Kaya, Maximilian Schmitt, Shahin Amiriparian, Nicholas Cummins, Dennis Lalanne, Adrien Michaud, Elvan Ciftci, Hüseyin Gülec, Albert Ali Salah, and Maja Pantic. AVEC 2018 Workshop and Challenge: Bipolar Disorder and Cross-Cultural Affect Recognition. In Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 8th International Workshop on Audio/Visual Emotion Challenge, AVEC'18, co-located with the 26th ACM International Conference on Multimedia, MM 2018, pages 3–13, Seoul, South Korea, October 2018. ACM. 96 citations.

11. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. Summary for AVEC 2018: Bipolar Disorder and Cross-Cultural Affect Recognition. In Proceedings of the 26th ACM International Conference on Multimedia, MM 2018, pages 2111–2112, Seoul, South Korea, October 2018. ACM. https://drive.google.com/file/d/1-wKffQ3F4qgdZw321TIKqiPaCozUAoEt/view?usp=sharing.

12. Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval, and Björn Schuller. Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech. In Proceedings INTERSPEECH 2018, 19th Annual Conference of the International Speech Communication Association (ISCA), pages 3082–3086, Hyderabad, India, September 2018. ISCA. (acceptance rate: 54 %).

13. Jing Han, Zixing Zhang, Zhao Ren, Fabien Ringeval, and Björn Schuller. Towards conditional adversarial training for predicting emotions from speech. In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018, pages 6822–6826, Calgary, Canada, April 2018. IEEE. (IF* 1.16 (2010)).

14. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. Summary for AVEC 2017 – Real-life Depression and A ect Challenge and Workshop. In Proceedings of the 25th ACM International Conference on Multimedia, MM 2017, Mountain View (CA), USA, October 2017. ACM. (acceptance rate: 28 %, IF: 1.062, 5-year IF: 1.466 (2013)).

15. Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, Stefan Scherer, Sharon Mozgai, Nicholas Cummins, and Maja Pantic. AVEC 2017 – Real-life Depression, and Affect Recognition Workshop and Challenge. In Fabien Ringeval, Björn Schuller, Michel Valstar, Jonathan Gratch, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 7th International Workshop on Audio/Visual Emotion Challenge, AVEC'17, co-located with the 25th ACM International Conference on Multimedia, MM 2017, pages 3–9, Mountain View (CA), USA, October 2017. ACM. (acceptance rate: 28 %, IF: 1.062, 5-year IF: 1.466 (2013)), 206 citations.

16. Jun Deng, Nicholas Cummins, Maximilian Schmitt, Kun Qian, Fabien Ringeval, and Björn Schuller. Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations. In Proceedings of the 7th International Digital Health Conference, DH 2017, pages 53–57, London, U. K., July 2017. ACM.

17. Gil Keren, Tobias Kirschstein, Erik Marchi, Fabien Ringeval, and Björn Schuller. End-to-end learning for dimensional emotion recognition from physiological signals. In Proceedings of the 18th IEEE International Conference on Multimedia and Expo, ICME 2017, pages 985–990, Hong Kong, P. R. China, July 2017. IEEE. (acceptance rate: 30 %, IF* 0.88 (2010), 38 citations).

18. Jing Han, Zixing Zhang, Fabien Ringeval, and Björn Schuller. Prediction-based learning for continuous emotion recognition in speech. In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, pages 5005–5009, New Orleans (LA), USA, March 2017. IEEE. (acceptance rate: 50 %, IF* 1.16 (2010)), 25 citations.

19. Jing Han, Zixing Zhang, Fabien Ringeval, and Björn Schuller. Reconstruction-error-based learning for continuous emotion recognition in speech. In Proceedings of the 42nd IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, pages 2367–2371, New Orleans (LA), USA, March 2017. IEEE. (acceptance rate: 50 %, IF* 1.16 (2010)).

20. Jouni Pohjalainen, Fabien Ringeval, Zixing Zhang, and Björn Schuller. Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition. In Proceedings of the 24th ACM International Conference on Multimedia, MM 2016, pages 670–674, Amsterdam, The Netherlands, October 2016. ACM. (acceptance rate short paper: 30 %, IF* 2.45 (2010)).

21. Maximilian Schmitt, Erik Marchi, Fabien Ringeval, and Björn Schuller. Towards Cross-lingual Automatic Diagnosis of Autism Spectrum Condition in Children's Voices. In Proceedings 14th ITG Conference on Speech Communication, volume 267 of ITG-Fachbericht, pages 264—268, Paderborn, Germany, October 2016. ITG/VDE, IEEE.

22. Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, and Maja Pantic. Summary for AVEC 2016: Depression, Mood, and Emotion Recognition Workshop and Challenge. In Proceedings of the 24th ACM International Conference on Multimedia, MM 2016, pages 1483–1484, Amsterdam, The Netherlands, October 2016. ACM, ACM. (acceptance rate short paper: 30 %, IF* 2.45 (2010)), 250 citations.

23. Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Denis Lalanne, Mercedes Torres Torres, Stefan Scherer, Giota Stratou, Roddy Cowie, and Maja Pantic. AVEC 2016 – Depression, Mood, and Emotion Recognition Workshop and Challenge. In Michel Valstar, Jonathan Gratch, Björn Schuller, Fabien Ringeval, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, AVEC'16, co-located with the 24th ACM International Conference on Multimedia, MM 2016, pages 3–10, Amsterdam, The Netherlands, October 2016. ACM. 428 citations.

24. Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, and Björn Schuller. Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016, IEEE AASP Challenge Workshop (DCASE 2016), satellite to EUSIPCO 2016, Budapest, Hungary, September 2016. EUSIPCO, IEEE. 5 pages, 32 citations.

25. Erik Marchi, Dario Tonelli, Xinzhou Xu, Fabien Ringeval, Jun Deng, Stefano Squartini, and Björn Schuller. The UP System for the 2016 DCASE Challenge using Deep Recurrent Neural Network and Multiscale Kernel Subspace Learning. In Proceedings of the Detection and Classification of Acoustic Scenes and Events 2016, IEEE AASP Challenge Workshop (DCASE 2016), satellite to EUSIPCO 2016, Budapest, Hungary, September 2016. EUSIPCO, IEEE. 1 page.

26. Fabien Ringeval, Erik Marchi, Charline Grossard, Jean Xavier, Mohamed Chetouani, David Cohen, and Björn Schuller. Automatic Analysis of Typical and Atypical Encoding of Spontaneous Emotion in the Voice of Children. In Proceedings INTERSPEECH 2016, 17th Annual Conference of the International Speech Communication Association, pages 1210–1214, San Fransisco (CA), USA, September 2016. ISCA. (acceptance rate: 50 %, IF* 1.05 (2010), 28 citations).

27. Maximilian Schmitt, Fabien Ringeval, and Björn Schuller. At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech. In Proceedings INTERSPEECH 2016, 17th Annual Conference of the International Speech Communication Association, pages 495–499, San Fransisco (CA), USA, September 2016. ISCA. (acceptance rate: 50 %, IF* 1.05 (2010)), 124 citations.

28. Zixing Zhang, Fabien Ringeval, Jin Han, Jun Deng, Erik Marchi, and Björn Schuller. Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks. In Proceedings INTERSPEECH 2016, 17th Annual Conference of the International Speech Communication Association, pages 3593–3597, San Fransisco (CA), USA, September 2016. ISCA. (acceptance rate: 50 %, IF* 1.05 (2010)), 48 citations.

29. Felix Weninger, Fabien Ringeval, Erik Marchi, and Björn Schuller. Discriminatively Trained Recurrent Neural Networks for Continuous Dimensional Emotion Recognition from Audio. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pages 2196–2202, New York City (NY), USA, July 2016. IJCAI/AAAI. (acceptance rate: 25 %, IF* 2.66 (2010)), 52 citations.

30. George Trigeorgis, Fabien Ringeval, Raymond Brueckner, Erik Marchi, Mihalis Nicolaou, Björn Schuller, and Stefanos Zafeiriou. Adieu features? End-to-end speech emotion recognition using a deep convolutional recurrent network. In Proceedings of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2016, pages 5200–5204, Shanghai, China, April 2016. IEEE. Winner of the IEEE Spoken Language Processing Student Travel Grant 2016 (IF* 1.16 (2010)), 705 citations.

31. Zixing Zhang, Fabien Ringeval, Bin Dong, Eduardo Coutinho, Erik Marchi, and Björn Schuller. Enhanced Semi-supervised Learning for Multimodal Emotion Recognition. In Proceedings of the 41st IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), pages 5185–5189, Shanghai, China, April 2016. IEEE. (IF* 1.16 (2010)), 52 citations.

32. Kun Qian, Zixing Zhang, Fabien Ringeval, and Björn Schuller. Bird Sounds Classification by Large Scale Acoustic Features and Extreme Learning Machine. In Proceedings 3rd IEEE Global Conference on Signal and Information Processing, GlobalSIP, Machine Learning Applications in Speech Processing Symposium, pages 1317–1321, Orlando (FL), USA, December 2015. IEEE. (acceptance rate: 45 %).

33. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. AVEC 2015 – The 5th International Audio/Visual Emotion Challenge and Workshop. In Proceedings of the 23rd ACM International Conference on Multimedia, MM 2015, pages 1335–1336, Brisbane, Australia, October 2015. ACM. (acceptance rate: 25 %, IF: 1.062, 5-year IF: 1.466 (2013)), 41 citations.

34. Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic. AVEC 2015 Chairs' Welcome. In Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, AVEC 15, co-located with the 23rd ACM International Conference on Multimedia, MM 2015, page iii, Brisbane, Australia, October 2015. ACM. (acceptance rate: 25 %, IF: 1.062, 5-year IF: 1.466 (2013)).

35. Fabien Ringeval, Björn Schuller, Michel Valstar, Shashank Jaiswal, Erik Marchi, Denis Lalanne, Roddy Cowie, and Maja Pantic. AV+EC 2015 – The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data. In Fabien Ringeval, Björn Schuller, Michel Valstar, Roddy Cowie, and Maja Pantic, editors, Proceedings of the 5th International Workshop on Audio/Visual Emotion Challenge, AVEC 15, co-located with the 23rd ACM International Conference on Multimedia, MM 2015, pages 3–8, Brisbane, Australia, October 2015. ACM. (acceptance rate: 25 %, IF: 1.062, 5-year IF: 1.466 (2013), 186 citations).

36. Fabien Ringeval, Erik Marchi, Marc Méhu, Klaus Scherer, and Björn Schuller. Face Reading from Speech – Predicting Facial Action Units from Audio Cues. In Proceedings INTERSPEECH 2015, 16th Annual Conference of the International Speech Communication Association, pages 1977–1981, Dresden, Germany, September 2015. ISCA. (acceptance rate: 51 %).

37. George Trigeorgis, Eduardo Coutinho, Fabien Ringeval, Erik Marchi, Stefanos Zafeiriou, and Björn Schuller. The ICL-TUM-PASSAU approach for the MediaEval 2015 ''Affective Impact of Movies'' Task. In Martha Larson, Bogdan Ionescu, Mats Sjöberg, Xavier Anguera, Johann Poignant, Michael Riegler, Maria Eskevich, Claudia Hauff, Richard Sutcliffe, Gareth J.F. Jones, Yi-Hsuan Yang, Mohammad Soleymani, and Symeon Papadopoulos, editors, Proceedings of the MediaEval 2015 Multimedia Benchmark Workshop, satellite of Interspeech 2015, volume 1436, Wurzen, Germany, September 2015. CEUR. 3 pages, best result.

38. Fabien Ringeval, Shahin Amiriparian, Florian Eyben, Klaus Scherer, and Björn Schuller. Emotion Recognition in the Wild: Incorporating Voice and Lip Activity in Multimodal Decision-Level Fusion. In Proceedings of the ICMI 2014 EmotiW – Emotion Recognition In The Wild Challenge and Workshop (EmotiW 2014), Satellite of the 16th ACM International Conference on Multimodal Interaction (ICMI 2014), pages 473–480, Istanbul, Turkey, November 2014. ACM. (acceptance rate: 40 %, IF* 1.77 (2010)), 35 citations.

39. Björn Schuller, Stefan Steidl, Anton Batliner, Julien Epps, Florian Eyben, Fabien Ringeval, Erik Marchi, and Yue Zhang. The INTERSPEECH 2014 Computational Paralinguistics Challenge: Cognitive & Physical Load. In Proceedings INTERSPEECH 2014, 15th Annual Conference of the International Speech Communication Association, pages 427–431, Singapore, Singapore, September 2014. ISCA. (acceptance rate: 52 %, IF* 1.05 (2010), 149 citations).

40. Alistair Doswald, Francesco Carrino, and Fabien Ringeval. Advanced Processing of sEMG Signals for User Independent Gesture Recognition. In Proceedings of the 13th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON 2013), volume 41, pages 758–761, Seville, Spain, September 2013. Springer International Publishing, IFMBE Proceedings.

41. Fabien Ringeval, Andreas Sonderegger, Basilio Noris, Aude Billard, Jürgen Sauer, and Denis Lalanne. On the Influence of Emotional Feedback on Emotion Awareness and Gaze Behavior. In Proceedings of the 5th biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), pages 448–453, Geneva, Switzerland, September 2013. IEEE. (acceptance rate: 59 %).

42. Andreas Sonderegger, Denis Lalanne, Luisa Bergholz, Fabien Ringeval, and Jürgen Sauer. Computer-supported work in distributed and co-located teams: the influence of mood feedback. In Proceedings of the 14th International Conference on Human-Computer Interaction (INTERACT 2013), volume 8118, pages 445–460, Cape Town, South Africa, September 2013. Springer Berlin Heidelberg, Lectures Notes in Computer Science. (acceptance rate: 31 %).

43. Björn Schuller, Stefan Steidl, Anton Batliner, Alessandro Vinciarelli, Klaus Scherer, Fabien Ringeval, Mohamed Chetouani, Felix Weninger, Florian Eyben, Erik Marchi, Marcello Mortillaro, Hugues Salamin, Anna Polychroniou, Fabio Valente, and Samuel Kim. The INTERSPEECH 2013 Computational Paralinguistics Challenge: Social Signals, Conflict, Emotion, Autism. In Proceedings INTERSPEECH 2013, 14th Annual Conference of the International Speech Communication Association, pages 148–152, Lyon, France, August 2013. ISCA. (acceptance rate: 52 %, IF* 1.05 (2010), 655 citations).

44. Fabien Ringeval, Andreas Sonderegger, Jürgen Sauer, and Denis Lalanne. Introducing the RECOLA Multimodal Corpus of Remote Collaborative and Affective Interactions. In Proceedings of the 2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space (EmoSPACE 2013), held in conjunction with the 10th International IEEE Conference on Automatic Face and Gesture Recognition (FG 2013), Shanghai, China, April 2013. IEEE. 8 pages (acceptance rate: 35 %, 515 citations).

45. Fabien Ringeval, Mohamed Chetouani, and Björn Schuller. Novel metrics of speech rhythm for the assessment of emotion. In Proceedings of INTERSPEECH 2012, 13th Annual Conference of the International Speech Communication Association, pages 346–349, Portland (OR), USA, September 2012. ISCA. (acceptance rate: 52 %, IF* 1.05 (2010)).

46. Ammar Mahdhaoui, Fabien Ringeval, and Mohamed Chetouani. Emotional Speech Characterization based on Multi-features Fusion for Face-to-Face Interaction. In Proceedings of the 3rd International Conference on Signals, Circuits and Systems (SCS 2009), Djerba, Tunisia, November 2009. IEEE. 6 pages (acceptance rate for oral presentation: 38 %).

47. Fabien Ringeval and Mohamed Chetouani. Hilbert-huang transform for non-linear characterization of speech rhythm. In ISCA Tutorial and Research Workshop on Non-Linear Speech Processing (NOLISP 2009), pages 2763–2766, Vic, Spain, June 2009. ISCA.

48. Fabien Ringeval, Mohamed Chetouani, David Sztahó, and Klara Vicsi. Automatic prosodic disorders analysis for impaired communication children. In Proceedings of the 1st Workshop on Child, Computer and Interaction (WOCCI 2008), pages 2763–2766, Chania, Greece, October 2008. ISCA. (acceptance rate: 44 %, IF* 1.77 (2010)).

49. Fabien Ringeval and Mohamed Chetouani. A vowel based approach for acted emotion recognition. In Proceedings INTERSPEECH 2008, 9th Annual Conference of the International Speech Communication Association, pages 2763–2766, Brisbane, Australia, September 2008. ISCA. (acceptance rate: 59 %, IF* 1.05 (2010), 58 citations).

50. Fabien Ringeval and Mohamed Chetouani. Une approche basée voyelle pour la reconnaissance d'émotions actées. In Proceedings of the 27th Journées d'Études sur la Parole (JEP 2008), Avignon, France, June 2008. AFCP. 5 pages.

51. Fabien Ringeval, Mohamed Chetouani, and Jean-Luc Zarader. Extraction automatique de la prosodie des enfants autistes : Premiers pas. In Proceedings of the 7th Rencontre des Jeunes Chercheurs en Parole (RJCP 2007), Paris, France, July 2007. AFCP. 4 pages.