Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue
Identifying Personality Traits Using Overlap Dynamics in Multiparty Dialogue
复制标题
在多方对话中使用重叠动态识别人格特征
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
D. Litman
中科院分区：
文献类型：
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作者：
Mingzhi Yu;E. Gilmartin;D. Litman
对人类口语的研究表明，言语在识别说话人的人格特征方面起着重要作用。在这项工作中，我们提出了一种在多方口语对话中使用重叠动态识别说话人人格特征的方法。我们首先定义了一组代表每个说话者的重叠动态的新特征。然后，我们使用方差分析测试来研究说话者人格特征对这些特征的影响。研究发现，不同外倾性和尽责性水平的说话者的重叠动态特征存在显著差异。最后，我们发现仅使用重叠动态特征的分类器在识别外向性和亲和性方面优于随机猜测，并且改进具有统计学意义。
Research on human spoken language has shown that speech plays an important role in identifying speaker personality traits. In this work, we propose an approach for identifying speaker personality traits using overlap dynamics in multiparty spoken dialogues. We first define a set of novel features representing the overlap dynamics of each speaker. We then investigate the impact of speaker personality traits on these features using ANOVA tests. We find that features of overlap dynamics significantly vary for speakers with different levels of both Extraversion and Conscientiousness. Finally, we find that classifiers using only overlap dynamics features outperform random guessing in identifying Extraversion and Agreeableness, and that the improvements are statistically significant.
关于感知的说话者特征的调查：个性、可爱度、病态和第一个挑战
DOI：
10.1016/j.csl.2014.08.003
发表时间：
2015
期刊：
Comput. Speech Lang.
影响因子：
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作者：
Schuller;B. Steidl;Batliner;Vinciarelli;A. Burkhardt;van Son;Weninger;Bocklet;Mohammadi
通讯作者：
Mohammadi