Machine Learning–based Modeling and Prediction of the Intrinsic Relationship between Human Emotion and Music
J Su, P Zhou - ACM Transactions on Applied Perceptions (TAP), 2022 - dl.acm.org
… time-consuming than linear approaches. The neural networks have strong internal fittability
… layer does not process the information; it only distributes the input vectors to the hidden layer…
… layer does not process the information; it only distributes the input vectors to the hidden layer…
[HTML][HTML] Detecting Music-Induced Emotion Based on Acoustic Analysis and Physiological Sensing: A Multimodal Approach
… It is not possible to separate the effect of auditory input using … Other studies employed deep
neural network machine … role in the predictive modeling of music-induced emotion, we trained …
neural network machine … role in the predictive modeling of music-induced emotion, we trained …
[HTML][HTML] A comparative analysis of modeling and predicting perceived and induced emotions in sonification
… in automatic audio emotion recognition relies on characteristics of the input, output, … neural
networks to recognize induced emotions, with the ultimate goal being to classify similar music …
networks to recognize induced emotions, with the ultimate goal being to classify similar music …
Machine learning model for mapping of music mood and human emotion based on physiological signals
… proven effects on neural networks in the brain. Using other … predicts the emotion of the
human-based on physiological … for emotion recognition, when multiple inputs (ie, physiological …
human-based on physiological … for emotion recognition, when multiple inputs (ie, physiological …
Recognizing emotions evoked by music using CNN-LSTM networks on EEG signals
… s theory, emotional experience is a response to physiological … and genetic algorithm to
predict emotional states by the EEG … the Recurrent Neural Network (RNN) to automatic emotions …
predict emotional states by the EEG … the Recurrent Neural Network (RNN) to automatic emotions …
Deep neural network predicts emotional responses of the human brain from functional magnetic resonance imaging
… models such as logistic regression (LR), sparse LR (sLR), and linear and non-linear SVM P
s based on the prediction … as input patterns for the DNN P in predicting emotional responses, …
s based on the prediction … as input patterns for the DNN P in predicting emotional responses, …
Use of gaussian process to model, predict and explain human emotional response to chinese traditional music
J Su, P Zhou - Advances in Complex Systems, 2021 - World Scientific
… physiological evidences for the music e®ects on human … the basic physic quantities (inputs)
of music, then we attempt to … predictive power, which performed much better than linear PLS …
of music, then we attempt to … predictive power, which performed much better than linear PLS …
[HTML][HTML] A novel emotion-aware hybrid music recommendation method using deep neural network
S Wang, C Xu, AS Ding, Z Tang - Electronics, 2021 - mdpi.com
… ) to predict the music emotions for the music and the music … One is to get physiological emotion
metrics directly from the users… Each network consists of an input layer, hidden layers, and …
metrics directly from the users… Each network consists of an input layer, hidden layers, and …
Using psychophysiological measures to recognize personal music emotional experience
L Zhang, S Sun, B Xing, R Luo, K Zhang - Frontiers of Information …, 2019 - Springer
… music emotion recognition based on human physiological … using wavelet transform and
neural network. J Comput Appl, 28… Prediction of the distribution of perceived music emotions …
neural network. J Comput Appl, 28… Prediction of the distribution of perceived music emotions …
Emotional classification of music using neural networks with the MediaEval dataset
YO Medina, JR Beltrán, S Baldassarri - Personal and Ubiquitous …, 2022 - Springer
… In this figure, it is possible to observe the input neurons, … later train independent prediction
models for both dimensions (… designed dimensional prediction system using neural networks, …
models for both dimensions (… designed dimensional prediction system using neural networks, …