Emotion recognition from unimodal to multimodal analysis: A review
K Ezzameli, H Mahersia - Information Fusion, 2023 - Elsevier
The omnipresence of numerous information sources in our daily life brings up new
alternatives for emotion recognition in several domains including e-health, e-learning …
alternatives for emotion recognition in several domains including e-health, e-learning …
Ensemble deep learning in speech signal tasks: a review
Abstract Machine learning methods are extensively used for processing and analysing
speech signals by virtue of their performance gains over multiple domains. Deep learning …
speech signals by virtue of their performance gains over multiple domains. Deep learning …
A review on speech emotion recognition: a survey, recent advances, challenges, and the influence of noise
SM George, PM Ilyas - Neurocomputing, 2024 - Elsevier
Affective Computing systems can detect the emotional state and mindset of an individual.
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Speech Emotion Recognition (SER) is a unimodal affect computing system based on …
Speech emotion recognition based on optimized deep features of dual-channel complementary spectrogram
J Li, X Zhang, F Li, L Huang - Information Sciences, 2023 - Elsevier
Speech emotion recognition (SER) is an essential field of artificial intelligence. Although the
Mel spectrogram is commonly used in SER, it emphasizes low-frequency emotional …
Mel spectrogram is commonly used in SER, it emphasizes low-frequency emotional …
Multi-dimensional adaptive learning rate gradient descent optimization algorithm for Network Training in Magneto-Optical defect detection
Y Liang, L Tian, X Zhang, X Zhang, L Bai - International Journal of …, 2024 - sciltp.com
As an optimization technique, the gradient descent method is widely adopted in the training
process of deep learning. In traditional gradient descent methods, the gradient of each …
process of deep learning. In traditional gradient descent methods, the gradient of each …
Speech Emotion Recognition Using Convolutional Neural Networks with Attention Mechanism
Speech emotion recognition (SER) is an interesting and difficult problem to handle. In this
paper, we deal with it through the implementation of deep learning networks. We have …
paper, we deal with it through the implementation of deep learning networks. We have …
[HTML][HTML] Speech emotion recognition using dual-stream representation and cross-attention fusion
Speech emotion recognition (SER) aims to recognize human emotions through in-depth
analysis of audio signals. However, it remains challenging to encode emotional cues and to …
analysis of audio signals. However, it remains challenging to encode emotional cues and to …
[PDF][PDF] Processamento de Linguagem Natural: conceitos, técnicas e aplicações em português
O Processamento de Linguagem Natural (PLN) surgiu praticamente ao mesmo tempo que
os computadores, por volta da década de 1940, já que a tradução automática entre línguas …
os computadores, por volta da década de 1940, já que a tradução automática entre línguas …
[HTML][HTML] Speech emotion recognition via multiple fusion under spatial–temporal parallel network
Speech, as a necessary way to express emotions, plays a vital role in human
communication. With the continuous deepening of research on emotion recognition in …
communication. With the continuous deepening of research on emotion recognition in …
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of
engaging healthy seniors to improve well-being and promote independent aging. One of the …
engaging healthy seniors to improve well-being and promote independent aging. One of the …