首页> 外文期刊>Cognitive science >Sound Predicts Meaning: Cross-Modal Associations Between Formant Frequency and Emotional Tone in Stanzas
【24h】

Sound Predicts Meaning: Cross-Modal Associations Between Formant Frequency and Emotional Tone in Stanzas

机译:声音预测意义:斯坦扎斯中草原频率与情绪基调之间的跨模型关联

获取原文
获取原文并翻译 | 示例
           

摘要

Research on the relation between sound and meaning in language has reported substantial evidence for implicit associations between articulatory–acoustic characteristics of phonemes and emotions. In the present study, we specifically tested the relation between the acoustic properties of a text and its emotional tone as perceived by readers. To this end, we asked participants to assess the emotional tone of single stanzas extracted from a large variety of poems. The selected stanzas had either an extremely high, a neutral, or an extremely low average formant dispersion. To assess the average formant dispersion per stanza, all words were phonetically transcribed and the distance between the first and second formant per vowel was calculated. Building on a long tradition of research on associations between sound frequency on the one hand and non-acoustic concepts such as size, strength, or happiness on the other hand, we hypothesized that stanzas with an extremely high average formant dispersion would be rated lower on items referring to Potency (dominance) and higher on items referring to Activity (arousal) and Evaluation (emotional valence). The results confirmed our hypotheses for the dimensions of Potency and Evaluation, but not for the dimension of Activity. We conclude that, at least in poetic language, extreme values of acoustic features of vowels are a significant predictor for the emotional tone of a text.
机译:语言中声音与含义关系的研究报告了关键词与情绪的铰接声学特征之间隐含关联的实质性证据。在本研究中,我们专门测试了文本的声学特性与读者所感知的情绪音调之间的关系。为此,我们要求参与者评估从各种各样的诗歌中提取的单一斯坦扎斯的情绪。所选的斯坦扎斯具有极高的,中性或极低的平均性腺分散体。为了评估每个七节的平均重塑分散体,所有单词均被识别,并计算每元音的第一和第二铅脂之间的距离。在一方面和非声学概念的声音频率与诸如尺寸,力量或幸福等诸如尺寸,强度或幸福的漫长传统,我们假设具有极高的平均格式色谱分散的斯坦斯将被额定降低参考活动(唤醒)和评估(情感价值)的项目中提高效力(优势)和更高的项目。结果证实了我们对效力和评估的尺寸的假设,但不适用于活动的维度。我们得出结论,至少在诗意的语言中,元音的声学特征的极端值是文本情绪音调的重要预测因素。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号