论文标题

VoiceCoach:公开演讲中语音调制技能的互动循证培训

VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking

论文作者

Wang, Xingbo, Zeng, Haipeng, Wang, Yong, Wu, Aoyu, Sun, Zhida, Ma, Xiaojuan, Qu, Huamin

论文摘要

语音属性(例如音高,音量和速度)的调制对于提供成功的公开演讲至关重要。但是,掌握不同的语音调制技能是一项挑战。尽管有许多准则可用,但它们通常不够实用,无法在不同的公开演讲情况下应用,尤其是对于新手演讲者而言。我们提出VoiceCoach,这是一种基于互动的循证方法,可促进语音调制技能的有效培训。具体而言,我们分析了2623个高质量演讲(即TED谈话)的语音调制技能,并将其用作基准数据集。鉴于语音输入,VoiceCoach会根据句子结构和语音调制技能的相似性自动推荐数据集中的良好语音调制示例。提供直接和定量的视觉反馈,以指导进一步的改进。专家访谈和用户研究为VoiceCoach的有效性和可用性提供了支持。

The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech. However, it is challenging to master different voice modulation skills. Though many guidelines are available, they are often not practical enough to be applied in different public speaking situations, especially for novice speakers. We present VoiceCoach, an interactive evidence-based approach to facilitate the effective training of voice modulation skills. Specifically, we have analyzed the voice modulation skills from 2623 high-quality speeches (i.e., TED Talks) and use them as the benchmark dataset. Given a voice input, VoiceCoach automatically recommends good voice modulation examples from the dataset based on the similarity of both sentence structures and voice modulation skills. Immediate and quantitative visual feedback is provided to guide further improvement. The expert interviews and the user study provide support for the effectiveness and usability of VoiceCoach.

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