遇见数据集

<b>Exploring auditory morphodynamics: </b><b>Audio-visual associations in sound-based music</b> Listening Questionnaire

收藏
DataCite Commons2025-04-23 更新2025-09-08 收录
官方服务:

资源简介:

Listening Questionnaire used in the academic research:<b>Exploring auditory morphodynamics: </b><b>Audio-visual associations in sound-based music</b>This paper explores audiovisual associations within the context of contemporary and experimental music practices, particularly focusing on sound-based music. While extensive studies exist on crossmodality in relation to traditional music genres (such as classical instrumental music), the perceptual potential of sound-based music remains an underexplored field of psychological research. In an online procedure, 152 participants were exposed to six musical excerpts from spectralism and electronic-glitch music and were asked to rate the extent to which each audio matched with six ad hoc generated black and white abstract images. Statistical analysis revealed that ratings were highly consistent across participants, indicating that they may rely on a shared set of implicit perceptual criteria rooted in Gestalt and morphodynamic features common to both auditory and visual stimuli. In particular, smoothness, continuity, numericity, symmetry, and spectrotemporal dimensions emerged as the primary factors influencing the association ratings. We discuss the implication of these findings both for crossmodal research and musicology, and suggest some directions for future research in audiovisual associations using sound-based music.

用于学术研究的听觉调查问卷:**探索听觉形态动力学:基于声音的音乐中的视听关联** 本研究聚焦当代与实验音乐实践语境下的视听关联问题,尤其针对基于声音的音乐展开探讨。尽管学界已围绕传统音乐类型(如古典器乐)开展了大量跨模态相关研究,但基于声音的音乐的感知潜力在心理学研究领域仍未得到充分探索。 本次实验采用线上范式,招募152名被试聆听6段分别取自频谱音乐(spectralism)与电子故障音乐(electronic-glitch music)的乐曲片段,并要求被试对每段音频与6张临时生成的黑白抽象图像的匹配程度进行评分。 统计分析结果显示,不同被试的评分呈现高度一致性,这表明他们或许依托一套共有的内隐感知评判标准,该标准植根于听觉与视觉刺激共有的格式塔(Gestalt)与形态动力学特征。其中,平滑性、连续性、数量性、对称性以及谱时维度(spectrotemporal dimensions)成为影响关联评分的核心因素。 本文讨论了上述研究发现对跨模态研究与音乐学研究的启示,并为未来基于声音的音乐的视听关联研究指明了若干方向。

提供机构:
figshare
创建时间:
2025-01-17
搜集汇总
数据集介绍
<b>Exploring auditory morphodynamics: </b><b>Audio-visual associations in sound-based music</b> Listening Questionnaire 数据集图片
背景与挑战
背景概述
该数据集是一项学术研究中使用的听感问卷,旨在探索基于声音的音乐中的音视频跨模态关联。研究通过152名参与者评估六个音乐片段与抽象图像的匹配程度,发现评分高度一致,表明参与者可能依赖于共享的感知标准,如平滑度和对称性等形态动力学特征。数据集适用于音乐认知和感官过程研究领域,并遵循CC BY 4.0许可证。
以上内容由遇见数据集搜集并总结生成
二维码
社区交流群
二维码
科研交流群
商业服务