Cooperative learning for personalized context-aware pain assessment from wearable data

MT Uddin, G Zamzmi, S Canavan - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Despite the promising performance of automated pain assessment methods, current
methods suffer from performance generalization due to the lack of relatively large, diverse …

An efficient framework for constructing speech emotion corpus based on integrated active learning strategies

F Ren, Z Liu, X Kang - IEEE Transactions on Affective …, 2022 - ieeexplore.ieee.org
Speech emotion recognition has been developed rapidly in recent decades because of the
appearance of machine learning. Nevertheless, lack of corpus remains a significant issue …

From Raw Speech to Fixed Representations: A Comprehensive Evaluation of Speech Embedding Techniques

D Porjazovski, T Grósz, M Kurimo - IEEE/ACM Transactions on …, 2024 - ieeexplore.ieee.org
Speech embeddings, fixed-size representations derived from raw audio data, play a crucial
role in diverse machine learning applications. Despite the abundance of speech embedding …

A residual multi-scale convolutional transformer network with chunk-level log-mel spectrograms for speech emotion recognition

T Yan, H Meng, E Parada-Cabaleiro, J Tao… - Authorea …, 2023 - techrxiv.org
The great variety of human emotional expression as well as the differences in the ways they
perceive and annotate them make Speech Emotion Recognition (SER) an ambiguous and …

Deep functional multiple index models with an application to SER

M Saumard, AE Haj, T Napoleon - arXiv preprint arXiv:2403.17562, 2024 - arxiv.org
Speech Emotion Recognition (SER) plays a crucial role in advancing human-computer
interaction and speech processing capabilities. We introduce a novel deep-learning …

Stream-based Active Learning for Speech Emotion Recognition via Hybrid Data Selection and Continuous Learning

SA Moreno-Acevedo, JC Vasquez-Correa… - … Conference on Text …, 2024 - Springer
This work proposes a novel stream-based Active Learning (AL) approach applied to Speech
Emotion Recognition (SER) in real-life scenarios where new data are generated from …

Simultaneous or sequential training? How speech representations cooperate in a multi-task self-supervised learning system

K Khorrami, MAC Blandón, T Virtanen… - 2023 31st European …, 2023 - ieeexplore.ieee.org
Speech representation learning with self-supervised algorithms has resulted in notable
performance boosts in many downstream tasks. Recent work combined self-supervised …

Context-aware Affective Behavior Modeling and Analytics

MT Uddin - 2024 - search.proquest.com
Affective computing (AC) is a sub-domain of AI that has the potential to assist people by
assessing mental states and making appropriate recommendations to patients, loved ones …