Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects
S Zhang, Y Yang, C Chen, X Zhang, Q Leng… - Expert Systems with …, 2024 - Elsevier
Emotion recognition has recently attracted extensive interest due to its significant
applications to human–computer interaction. The expression of human emotion depends on …
applications to human–computer interaction. The expression of human emotion depends on …
[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms
Emotion recognition is the process to detect, evaluate, interpret, and respond to people's
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
emotional states and emotions, ranging from happiness to fear to humiliation. The COVID-19 …
Automated emotion recognition: Current trends and future perspectives
Background Human emotions greatly affect the actions of a person. The automated emotion
recognition has applications in multiple domains such as health care, e-learning …
recognition has applications in multiple domains such as health care, e-learning …
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 …
Speech emotion recognition based on multiple acoustic features and deep convolutional neural network
K Bhangale, M Kothandaraman - Electronics, 2023 - mdpi.com
Speech emotion recognition (SER) plays a vital role in human–machine interaction. A large
number of SER schemes have been anticipated over the last decade. However, the …
number of SER schemes have been anticipated over the last decade. However, the …
Speech emotion recognition: a comprehensive survey
MJ Al-Dujaili, A Ebrahimi-Moghadam - Wireless Personal Communications, 2023 - Springer
Speech emotion recognition could be considered a new topic in speech processing where
he plays that plays an essential role in human interaction. Emotions are a king of speech …
he plays that plays an essential role in human interaction. Emotions are a king of speech …
Speech emotion recognition approaches: A systematic review
The speech emotion recognition (SER) field has been active since it became a crucial
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
feature in advanced Human-Computer Interaction (HCI), and wide real-life applications use …
Speech emotion recognition through hybrid features and convolutional neural network
Speech emotion recognition (SER) is the process of predicting human emotions from audio
signals using artificial intelligence (AI) techniques. SER technologies have a wide range of …
signals using artificial intelligence (AI) techniques. SER technologies have a wide range of …
Advanced fusion-based speech emotion recognition system using a dual-attention mechanism with conv-caps and bi-gru features
Recognizing the speaker's emotional state from speech signals plays a very crucial role in
human–computer interaction (HCI). Nowadays, numerous linguistic resources are available …
human–computer interaction (HCI). Nowadays, numerous linguistic resources are available …
A survey of artificial intelligence approaches in blind source separation
In various signal processing applications, such as audio signal recovery, the extraction of
desired signals from a mixture of other signals is a crucial task. To achieve superior …
desired signals from a mixture of other signals is a crucial task. To achieve superior …