… Music’s emotion, on the other hand, is not static. This paper uses a machine learning algorithm
to create a model of music composition and emotion recognition. The following are some …

… on machine learning and deep learning algorithms because they … emotion recognition.
They perform well in terms of classification, and they are more accurate at detecting emotions …

… The existing approaches of the emotion recognition systems construction was analyzed …
emotion recognition system based on a neural network, which includes an optimized algorithm …

… Finally, we compare different ML and deep learning algorithms for emotion recognition
and suggest several open problems and future research directions in this exciting and fast-…

… If emotional oriented deep-learning algorithms can be developed and combined with
additional Internet-of-Things sensors in the future, it is expected that FER can improve its …

… Deep learning algorithm In this study, a deep learning algorithm is used to classify the
emotional EEG signals. The deep learning model contains two different units, namely, the …

… Abstract—Facial emotion recognition is one of the most … application of emotion recognition
where seven different emotions such … Humans can produce thousands of emotions in different …

… a review of emotional recognition of multimodal signals using deep learning and comparing
… Results show that the SVM algorithm has modified a lot to speech emotion recognition with …

… in learning algorithms for intelligent systems by focusing on the emotion recognition problem…
We first present baseline outcomes for a cloud-based emotion recognition algorithm applied …

… emotion recognition method based on an improved BEL model is proposed, in which Genetic
Algorithm (… GA is a global, random and adaptive algorithm with stronger parallel processing …