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 …

[HTML][HTML] A systematic survey on multimodal emotion recognition using learning algorithms

N Ahmed, Z Al Aghbari, S Girija - Intelligent Systems with Applications, 2023 - Elsevier
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 …

Automated emotion recognition: Current trends and future perspectives

M Maithri, U Raghavendra, A Gudigar… - Computer methods and …, 2022 - Elsevier
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 …

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 …

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 …

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 …

Speech emotion recognition approaches: A systematic review

A Hashem, M Arif, M Alghamdi - Speech Communication, 2023 - Elsevier
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 …

Speech emotion recognition through hybrid features and convolutional neural network

AS Alluhaidan, O Saidani, R Jahangir, MA Nauman… - Applied Sciences, 2023 - mdpi.com
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 …

Advanced fusion-based speech emotion recognition system using a dual-attention mechanism with conv-caps and bi-gru features

B Maji, M Swain - Electronics, 2022 - mdpi.com
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 …

A survey of artificial intelligence approaches in blind source separation

S Ansari, AS Alatrany, KA Alnajjar, T Khater… - Neurocomputing, 2023 - Elsevier
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 …