Speech emotion recognition: Two decades in a nutshell, benchmarks, and ongoing trends
BW Schuller - Communications of the ACM, 2018 - dl.acm.org
Speech emotion recognition: two decades in a nutshell, benchmarks, and ongoing trends Page
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …
1 90 COMMUNICATIONS OF THE ACM | MAY 2018 | VOL. 61 | NO. 5 review articles ILL US …
Understanding deep learning techniques for recognition of human emotions using facial expressions: A comprehensive survey
Emotion recognition plays a significant role in cognitive psychology research. However,
measuring emotions is a challenging task. Thus, several approaches have been designed …
measuring emotions is a challenging task. Thus, several approaches have been designed …
Image based static facial expression recognition with multiple deep network learning
We report our image based static facial expression recognition method for the Emotion
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …
Recognition in the Wild Challenge (EmotiW) 2015. We focus on the sub-challenge of the …
Deep affect prediction in-the-wild: Aff-wild database and challenge, deep architectures, and beyond
Automatic understanding of human affect using visual signals is of great importance in
everyday human–machine interactions. Appraising human emotional states, behaviors and …
everyday human–machine interactions. Appraising human emotional states, behaviors and …
Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications
CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …
system capable of automatically recognizing facial expressions from images and video has …
Mosi: multimodal corpus of sentiment intensity and subjectivity analysis in online opinion videos
People are sharing their opinions, stories and reviews through online video sharing
websites every day. Studying sentiment and subjectivity in these opinion videos is …
websites every day. Studying sentiment and subjectivity in these opinion videos is …
Aff-wild: valence and arousal'In-the-Wild'challenge
Abstract The Affect-in-the-Wild (Aff-Wild) Challenge proposes a new comprehensive
benchmark for assessing the performance of facial affect/behaviour analysis …
benchmark for assessing the performance of facial affect/behaviour analysis …
A riemannian network for spd matrix learning
Z Huang, L Van Gool - Proceedings of the AAAI conference on artificial …, 2017 - ojs.aaai.org
Abstract Symmetric Positive Definite (SPD) matrix learning methods have become popular in
many image and video processing tasks, thanks to their ability to learn appropriate statistical …
many image and video processing tasks, thanks to their ability to learn appropriate statistical …
Hybrid deep neural networks for face emotion recognition
Abstract Deep Neural Networks (DNNs) outperform traditional models in numerous optical
recognition missions containing Facial Expression Recognition (FER) which is an imperative …
recognition missions containing Facial Expression Recognition (FER) which is an imperative …
Recurrent neural networks for emotion recognition in video
Deep learning based approaches to facial analysis and video analysis have recently
demonstrated high performance on a variety of key tasks such as face recognition, emotion …
demonstrated high performance on a variety of key tasks such as face recognition, emotion …