[HTML][HTML] An ongoing review of speech emotion recognition

J de Lope, M Graña - Neurocomputing, 2023 - Elsevier
User emotional status recognition is becoming a key feature in advanced Human Computer
Interfaces (HCI). A key source of emotional information is the spoken expression, which may …

AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition

F Ringeval, B Schuller, M Valstar, N Cummins… - Proceedings of the 9th …, 2019 - dl.acm.org
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …

In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study

E Ryumina, D Dresvyanskiy, A Karpov - Neurocomputing, 2022 - Elsevier
Many researchers have been seeking robust emotion recognition system for already last two
decades. It would advance computer systems to a new level of interaction, providing much …

AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition

F Ringeval, B Schuller, M Valstar, R Cowie… - Proceedings of the …, 2018 - dl.acm.org
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 …

Deep cross-corpus speech emotion recognition: Recent advances and perspectives

S Zhang, R Liu, X Tao, X Zhao - Frontiers in neurorobotics, 2021 - frontiersin.org
Automatic speech emotion recognition (SER) is a challenging component of human-
computer interaction (HCI). Existing literatures mainly focus on evaluating the SER …

[PDF][PDF] Analysis of Deep Learning Architectures for Cross-Corpus Speech Emotion Recognition.

J Parry, D Palaz, G Clarke, P Lecomte, R Mead… - Interspeech, 2019 - researchgate.net
Abstract Speech Emotion Recognition (SER) is an important and challenging task for human-
computer interaction. In the literature deep learning architectures have been shown to yield …

Emonet: A transfer learning framework for multi-corpus speech emotion recognition

M Gerczuk, S Amiriparian, S Ottl… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this manuscript, the topic of multi-corpus Speech Emotion Recognition (SER) is
approached from a deep transfer learning perspective. A large corpus of emotional speech …

Sensing beyond itself: Multi-functional use of ubiquitous signals towards wearable applications

Z Wang, J Li, Y Jin, J Wang, F Yang, G Li, X Ni… - Digital Signal …, 2021 - Elsevier
Wearable technologies provide a non-invasive way to monitor user's activity, identity, and
health in real-time, which have attracted tremendous interests from both academia and …

Predictive models for imbalanced data: A school dropout perspective

TM Barros, PA Souza Neto, I Silva, LA Guedes - Education Sciences, 2019 - mdpi.com
Predicting school dropout rates is an important issue for the smooth execution of an
educational system. This problem is solved by classifying students into two classes using …

Speech emotion recognition using optimized genetic algorithm-extreme learning machine

MAA Albadr, S Tiun, M Ayob, FT AL-Dhief… - Multimedia Tools and …, 2022 - Springer
Abstract Automatic Emotion Speech Recognition (ESR) is considered as an active research
field in the Human-Computer Interface (HCI). Typically, the ESR system is consisting of two …