Artificial Personality

This dataset is associated with the paper “Artificial Personality and Disfluency” by Mirjam Wester, Matthew Aylett, Marcus Tomalin and Rasmus Dall published at Interspeech 2015, Dresden. The focus of this paper is artificial voices with different personalities. Previous studies have shown links between an individual's use of disfluencies in their speech and their perceived personality. Here, filled pauses (uh and um) and discourse markers (like, you know, I mean) have been included in synthetic speech as a way of creating an artificial voice with different personalities. We discuss the automatic insertion of filled pauses and discourse markers (i.e., fillers) into otherwise fluent texts. The automatic system is compared to a ground truth of human ``acted" filler insertion. Perceived personality (as defined by the big five personality dimensions) of the synthetic speech is assessed by means of a standardised questionnaire. Synthesis without fillers is compared to synthesis with either spontaneous or synthetic fillers. Our findings explore how the inclusion of disfluencies influences the way in which subjects rate the perceived personality of an artificial voice.

本数据集关联由Mirjam Wester、Matthew Aylett、Marcus Tomalin及Rasmus Dall合著、发表于2015年德累斯顿国际语音通信大会（Interspeech）的论文《人工人格与言语不流畅（Artificial Personality and Disfluency）》。该论文的研究核心为具备不同人格特征的人工语音。过往研究已证实，个体言语中的不流畅现象使用情况与其被感知到的人格特质之间存在关联。本研究将填充停顿（如uh、um）与话语标记语（如like、you know、I mean）纳入合成语音，以此构建具备差异化人格的人工语音。我们探讨了将填充停顿与话语标记语（即填充语）自动插入至原本流畅文本中的方法。将该自动系统与人类“刻意录制”的填充语插入基准真值（ground truth）进行对比。合成语音的感知人格以大五人格维度为定义标准，通过标准化问卷开展评估。将未添加填充语的合成语音，与分别添加自然口语填充语或人工合成填充语的合成语音进行对比。本研究结果揭示了加入言语不流畅现象如何影响受试者对人工语音人格特质的评分方式。