Modeling time series data with deep learning: A review, analysis, evaluation and future trend

JS Ang, KW Ng, FF Chua - 2020 8th International Conference …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] Dynamic intersubject neural synchronization reflects affective responses to sad music

ME Sachs, A Habibi, A Damasio, JT Kaplan - NeuroImage, 2020 - Elsevier
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 …

Crossmodal correspondences in art and science: Odours, poetry, and music

N Di Stefano, M Murari, C Spence - Olfaction: An interdisciplinary …, 2021 - Springer
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 …

A computational lens into how music characterizes genre in film

B Ma, T Greer, D Knox, S Narayanan - PloS one, 2021 - journals.plos.org
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 …

Multimodal User Enjoyment Detection in Human-Robot Conversation: The Power of Large Language Models

A Pereira, L Marcinek, J Miniota, S Thunberg… - Proceedings of the 26th …, 2024 - dl.acm.org
Enjoyment is a crucial yet complex indicator of positive user experience in Human-Robot
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

T Greer, K Mundnich, M Sachs… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
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 …

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 …

[PDF][PDF] Научный руководитель

СО Скорик - ipran.ru
Диссертационная работа посвящена изучению вклада темпа, тональности и
амплитудных изменений в субъективную семантику музыкального звука. Под …