Multimodal Emotion Recognition with deep learning: advancements, challenges, and future directions
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …
An audio-based anger detection algorithm using a hybrid artificial neural network and fuzzy logic model
Abstract Audio Emotion Recognition (AER) is an important factor for Human Emotion
Analysis with or without any visual aiding components. Such audio has different modular …
Analysis with or without any visual aiding components. Such audio has different modular …
Multimodal Emotion Recognition Using Contextualized Audio Information and Ground Transcripts on Multiple Datasets
The widespread applications of emotion recognition (ER) in various fields have recently
attracted much attention from researchers. Consequently, an array of advanced techniques …
attracted much attention from researchers. Consequently, an array of advanced techniques …
Multimodal Emotion Recognition with Deep Learning:: Advancements, challenges, and future directions
G AV, UE - 2024 - dl.acm.org
In recent years, affective computing has become a topic of considerable interest, driven by
its ability to enhance several domains, such as mental health monitoring, human–computer …
its ability to enhance several domains, such as mental health monitoring, human–computer …