The eNTERFACE’05 Audio-Visual Emotion Database
By Olivier Martin, Irene Kotsia, Benoit M. Macq, Ioannis Pitas. 22nd International Conference on Data Engineering Workshops (ICDEW'06), 2006
326 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Signal Processing
View Paper: https://www.semanticscholar.org/paper/b4395f69e33dacedfe7381798d7e3ffbd366be16
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Björn Schuller
- Florian Eyben
- Maja Pantic
- Anton Batliner
- Stefan Steidl
- Michel François Valstar
- Hatice Gunes
- R. Cowie
In Signal Processing
- Björn Schuller
- Florian Eyben
- Yanning Zhang
- Maja Pantic
- Erik Cambria
- Soujanya Poria
- Emily Mower Provost
- R. Cowie
Citations in the corpus
- Hybrid Deep Neural Network--Hidden Markov Model (DNN-HMM) Based Speech Emotion Recognition (2013, methodology): “Moreover, we compare the DNN-HMMs with unsupervised and supervised pre-training methods, and illustrate our approach with experimental results on the eNTERFACE’05 [9] and Berlin [10] speech emotion databases.”
- Deep neural networks for acoustic emotion recognition: Raising the benchmarks (2011, background): “The eNTERFACE (eNTER) [14] corpus consists of recordings of naive subjects from 14 nations speaking pre-defined spoken content in English.”
- A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances (2022, unknown): “42% (speaker-dependent) on eNTERFACE [368].”