Modeling time series data with deep learning: A review, analysis, evaluation and future trend
Time series modeling is a challenging and demanding problem. In the recent year, deep
learning (DL) has attracted huge attention in many fields of research, including time series …
learning (DL) has attracted huge attention in many fields of research, including time series …
[HTML][HTML] Dynamic intersubject neural synchronization reflects affective responses to sad music
Psychological theories of emotion often highlight the dynamic quality of the affective
experience, yet neuroimaging studies of affect have traditionally relied on static stimuli that …
experience, yet neuroimaging studies of affect have traditionally relied on static stimuli that …
Crossmodal correspondences in art and science: Odours, poetry, and music
Odour-sound correspondences provide some of the most fascinating and intriguing
examples of crossmodal associations, in part, because it is unclear from where exactly they …
examples of crossmodal associations, in part, because it is unclear from where exactly they …
A computational lens into how music characterizes genre in film
Film music varies tremendously across genre in order to bring about different responses in
an audience. For instance, composers may evoke passion in a romantic scene with lush …
an audience. For instance, composers may evoke passion in a romantic scene with lush …
Multimodal User Enjoyment Detection in Human-Robot Conversation: The Power of Large Language Models
Enjoyment is a crucial yet complex indicator of positive user experience in Human-Robot
Interaction (HRI). While manual enjoyment annotation is feasible, develo** reliable …
Interaction (HRI). While manual enjoyment annotation is feasible, develo** reliable …
The role of annotation fusion methods in the study of human-reported emotion experience during music listening
Music is a universally-enjoyed art form, but listeners often respond to it in tremendously
different ways. The same song can bring one person great joy and another deep sorrow …
different ways. The same song can bring one person great joy and another deep sorrow …
Feature-based User-centric Music Recommendation
A Srivastava - research-archive.org
This paper presents a novel approach to music recommendation that leverages intrinsic
musical properties to address the limitations of traditional collaborative filtering methods …
musical properties to address the limitations of traditional collaborative filtering methods …
[PDF][PDF] Научный руководитель
СО Скорик - ipran.ru
Диссертационная работа посвящена изучению вклада темпа, тональности и
амплитудных изменений в субъективную семантику музыкального звука. Под …
амплитудных изменений в субъективную семантику музыкального звука. Под …