[HTML][HTML] Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations
Emotion recognition is the ability to precisely infer human emotions from numerous sources
and modalities using questionnaires, physical signals, and physiological signals. Recently …
and modalities using questionnaires, physical signals, and physiological signals. Recently …
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 …
Variational mode decomposition based acoustic and entropy features for speech emotion recognition
Automated speech emotion recognition (SER) is a machine-based method for identifying
emotion from speech signals. SER has many practical applications, including improving …
emotion from speech signals. SER has many practical applications, including improving …
A deep learning approaches and fastai text classification to predict 25 medical diseases from medical speech utterances, transcription and intent
The article examined the deep learning models and Fastai text classification technique to
predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals …
predict the medical speech utterances, transcriptions, and intent to extract the 25 medicals …
Chirplet transform based time frequency analysis of speech signal for automated speech emotion recognition
Nowadays, the recognition of emotion using the speech signal has gained popularity
because of its vast number of applications in different fields like medicine, online marketing …
because of its vast number of applications in different fields like medicine, online marketing …
Lightweight deep learning framework for speech emotion recognition
Speech Emotion Recognition (SER) system, which analyzes human utterances to determine
a speaker's emotion, has a growing impact on how people and machines interact. Recent …
a speaker's emotion, has a growing impact on how people and machines interact. Recent …
Speech emotion classification using attention based network and regularized feature selection
S Akinpelu, S Viriri - Scientific Reports, 2023 - nature.com
Speech emotion classification (SEC) has gained the utmost height and occupied a
conspicuous position within the research community in recent times. Its vital role in Human …
conspicuous position within the research community in recent times. Its vital role in Human …
Fusion-based speech emotion classification using two-stage feature selection
J Xie, M Zhu, K Hu - Speech Communication, 2023 - Elsevier
Speech emotion recognition plays an important role in human–computer interaction, which
uses speech signals to determine the emotional state. Previous studies have proposed …
uses speech signals to determine the emotional state. Previous studies have proposed …
Video-based cross-modal auxiliary network for multimodal sentiment analysis
Multimodal sentiment analysis has a wide range of applications due to its information
complementarity in multimodal interactions. Previous works focus more on investigating …
complementarity in multimodal interactions. Previous works focus more on investigating …
Robust feature selection-based speech emotion classification using deep transfer learning
S Akinpelu, S Viriri - Applied Sciences, 2022 - mdpi.com
Speech Emotion Classification (SEC) relies heavily on the quality of feature extraction and
selection from the speech signal. Improvement on this to enhance the classification of …
selection from the speech signal. Improvement on this to enhance the classification of …