Adversarial training in affective computing and sentiment analysis: Recent advances and perspectives
Over the past few years, adversarial training has become an extremely active research topic
and has been successfully applied to various Artificial Intelligence (AI) domains. As a …
and has been successfully applied to various Artificial Intelligence (AI) domains. As a …
Affective recommender systems in the educational field. A systematic literature review
C Salazar, J Aguilar, J Monsalve-Pulido… - Computer Science …, 2021 - Elsevier
Students' emotions have been proven to play a fundamental role in the teaching/learning
process. As educational content can modify the emotional state, emotions are crucial …
process. As educational content can modify the emotional state, emotions are crucial …
Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research
Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …
nearly 20 years ago. It has widespread commercial applications in various domains like …
Emotion recognition in speech using cross-modal transfer in the wild
Obtaining large, human labelled speech datasets to train models for emotion recognition is a
notoriously challenging task, hindered by annotation cost and label ambiguity. In this work …
notoriously challenging task, hindered by annotation cost and label ambiguity. In this work …
AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications
Emotion is one of the main reasons why people engage and interact with music. Songs can
express our inner feelings, produce goosebumps, bring us to tears, share an emotional state …
express our inner feelings, produce goosebumps, bring us to tears, share an emotional state …
Pose-invariant facial expression recognition
Pose-invariant facial expression recognition is quite challenging due to variations in facial
appearance and self-occlusion caused by head rotations. In this paper, we propose an …
appearance and self-occlusion caused by head rotations. In this paper, we propose an …
The OMG-emotion behavior dataset
This paper is the basis paper for the accepted IJCNN challenge One-Minute Gradual-
Emotion Recognition (OMG-Emotion) 1 by which we hope to foster long-emotion …
Emotion Recognition (OMG-Emotion) 1 by which we hope to foster long-emotion …
Attention-augmented end-to-end multi-task learning for emotion prediction from speech
Z Zhang, B Wu, B Schuller - ICASSP 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Despite the increasing research interest in end-to-end learning systems for speech emotion
recognition, conventional systems either suffer from the overfitting due in part to the limited …
recognition, conventional systems either suffer from the overfitting due in part to the limited …
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech
Continuous dimensional emotion recognition from speech helps robots or virtual agents
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
capture the temporal dynamics of a speaker's emotional state in natural human–robot …