Cooperative learning for personalized context-aware pain assessment from wearable data
Despite the promising performance of automated pain assessment methods, current
methods suffer from performance generalization due to the lack of relatively large, diverse …
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
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 …
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
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 …
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 …
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 …
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 …
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
Speech representation learning with self-supervised algorithms has resulted in notable
performance boosts in many downstream tasks. Recent work combined self-supervised …
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 …
assessing mental states and making appropriate recommendations to patients, loved ones …