Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

4-2020

Abstract

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.

Keywords

Voice modulation, evidence-based training, data visualization, public speaking

Discipline

Databases and Information Systems | Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu HI USA, April 25-30

First Page

1

Last Page

12

Identifier

10.1145/3313831.3376726

Publisher

ACM

City or Country

Virtual Conference

Additional URL

https://doi.org/10.1145/3313831.3376726

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