Real-time Human-Music Emotional Interaction Based on Multimodal Analysis

Tianyue Jiang, Sanhong Deng, Peng Wu, Haibi Jiang
{"title":"Real-time Human-Music Emotional Interaction Based on Multimodal Analysis","authors":"Tianyue Jiang, Sanhong Deng, Peng Wu, Haibi Jiang","doi":"10.1109/cost57098.2022.00020","DOIUrl":null,"url":null,"abstract":"Music, as an important part of the culture, occupies a significant position and can be easily accessed. The research on the sentiment represented by music and its effect on the listener’s emotion is increasing gradually, but the existing research is often subjective and neglects the real-time expression of emotion. In this article, two labeled datasets are established. The deep learning method is used to classify music sentiment while the decision-level fusion method is used for real-time listener multimodal sentiment. We combine the sentiment analysis with a traditional online music playback system and propose innovatively a human-music emotional interaction system, using multimodal sentiment analysis based on the deep learning method. By means of individual observation and questionnaire survey, the interaction between human-music sentiments is proved to have a positive influence on listeners’ negative emotions.","PeriodicalId":135595,"journal":{"name":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","volume":"308 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Conference on Culture-Oriented Science and Technology (CoST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/cost57098.2022.00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Music, as an important part of the culture, occupies a significant position and can be easily accessed. The research on the sentiment represented by music and its effect on the listener’s emotion is increasing gradually, but the existing research is often subjective and neglects the real-time expression of emotion. In this article, two labeled datasets are established. The deep learning method is used to classify music sentiment while the decision-level fusion method is used for real-time listener multimodal sentiment. We combine the sentiment analysis with a traditional online music playback system and propose innovatively a human-music emotional interaction system, using multimodal sentiment analysis based on the deep learning method. By means of individual observation and questionnaire survey, the interaction between human-music sentiments is proved to have a positive influence on listeners’ negative emotions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于多模态分析的实时人-音乐情感交互
音乐作为文化的一个重要组成部分,占有重要的地位,也很容易接触到。关于音乐所代表的情感及其对听者情感影响的研究逐渐增多,但现有的研究往往是主观的,忽视了情感的实时表达。在本文中,建立了两个标记数据集。采用深度学习方法对音乐情感进行分类,采用决策级融合方法对听众实时多模态情感进行分类。我们将情感分析与传统的在线音乐播放系统相结合,采用基于深度学习的多模态情感分析方法,创新性地提出了一个人-音乐情感交互系统。通过个体观察和问卷调查,证明了人与音乐情感的互动对听者的消极情绪有积极的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Vision Enhancement Network for Image Quality Assessment Analysis and Application of Tourists’ Sentiment Based on Hotel Comment Data Automatic Image Generation of Peking Opera Face using StyleGAN2 Analysis of Emotional Influencing Factors of Online Travel Reviews Based on BiLSTM-CNN Performance comparison of deep learning methods on hand bone segmentation and bone age assessment
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1