five

Music-to-Color Associations of Single-line Piano Melodies in Non-Synesthetes|音乐与颜色关联数据集|情感影响数据集

收藏
Mendeley Data2024-06-27 更新2024-06-28 收录
音乐与颜色关联
情感影响
下载链接:
https://brill.figshare.com/articles/dataset/Music_to_Color_Associations_of_Single_line_Piano_Melodies_in_Non_Synesthetes/1355942/1
下载链接
链接失效反馈
资源简介:
Prior research has shown that non-synesthetes’ color associations to classical orchestral music are strongly mediated by emotion. The present study examines similar cross-modal music-to-color associations for much better controlled musical stimuli: 64 single-line piano melodies that were generated from four basic melodies by Mozart, whose global musical parameters were manipulated in tempo (slow/fast), note-density (sparse/dense), mode (major/minor) and pitch-height (low/high). Participants first chose the three colors (from 37) that they judged to be most consistent with (and, later, the three that were most inconsistent with) the music they were hearing. They later rated each melody and each color for the strength of its association along four emotional dimensions: happy/sad, agitated/calm, angry/not-angry and strong/weak. The cross-modal choices showed that faster music in the major mode was associated with lighter, more saturated, yellower (warmer) colors than slower music in the minor mode. These results replicate and extend those of Palmer et al. (2013, Proc. Natl. Acad. Sci. 110, 8836–8841) with more precisely controlled musical stimuli. Further results replicated strong evidence for emotional mediation of these cross-modal associations, in that the emotional ratings of the melodies were very highly correlated with the emotional associations of the colors chosen as going best/worst with the melodies (r = 0.92, 0.85, 0.82 and 0.70 for happy/sad, strong/weak, angry/not-angry and agitated/calm, respectively). The results are discussed in terms of common emotional associations forming a cross-modal bridge between highly disparate sensory inputs.
创建时间:
2023-06-28
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4098个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

网易云音乐数据集

该数据集包含了网易云音乐平台上的歌手信息、歌曲信息和歌单信息,数据通过爬虫技术获取并整理成CSV格式,用于音乐数据挖掘和推荐系统构建。

github 收录

中国区域教育数据库

该数据集包含了中国各区域的教育统计数据,涵盖了学校数量、学生人数、教师资源、教育经费等多个方面的信息。

www.moe.gov.cn 收录

LIDC-IDRI

LIDC-IDRI 数据集包含来自四位经验丰富的胸部放射科医师的病变注释。 LIDC-IDRI 包含来自 1010 名肺部患者的 1018 份低剂量肺部 CT。

OpenDataLab 收录

RADIOML 2016.10A

一个合成数据集,使用GNU Radio生成,包含11种调制方式(8种数字和3种模拟),信号噪声比各异。该数据集首次在第六届年度GNU Radio会议上发布。

github 收录

UAVDT

UAVDT是一个用于目标检测任务的数据集。

github 收录