Ringeval, Fabien

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

Trigeorgis, G., Ringeval, F., Brueckner, R., Marchi, E., Nicolaou, M. A., Schuller, B., & Zafeiriou, S. (2016) · 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Emotion and Mood RecognitionSpeech Recognition and Synthesis

Cited by 904

Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions

Ringeval, F., Sonderegger, A., Sauer, J., & Lalanne, D. (2013) · 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG)

Emotion and Mood RecognitionSpeech and dialogue systems

Cited by 771

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

Ringeval, F., Schuller, B., Valstar, M., Cummins, N., Cowie, R., Tavabi, L., Schmitt, M., Alisamir, S., Amiriparian, S., Messner, E.-M., et al. (2019) · Proceedings of the 9th International on Audio/Visual Emotion Challenge and Workshop

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 409

Sewa db: A rich database for audio-visual emotion and sentiment research in the wild

Kossaifi, J., Walecki, R., Panagakis, Y., Shen, J., Schmitt, M., Ringeval, F., Han, J., Pandit, V., Toisoul, A., Schuller, B., et al. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 243

Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data

Ringeval, F., Eyben, F., Kroupi, E., Yuce, A., Thiran, J.-P., Ebrahimi, T., Lalanne, D., & Schuller, B. (2015) · Pattern Recognition Letters

Emotion and Mood RecognitionSentiment Analysis and Opinion Mining

Cited by 202

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals

Han, J., Zhang, Z., Cummins, N., Ringeval, F., & Schuller, B. (2017) · Image and Vision Computing

Emotion and Mood RecognitionSpeech and Audio Processing

Cited by 53