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

arXiv: https://arxiv.org/abs/2001.07876 · HTML: https://mlsanity.com/paper/2001.07876/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Jan 2020.

## Built on by (most cited first, 11 of 11)

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- [PresentCoach: Dual-Agent Presentation Coaching through Exemplars and Interactive Feedback](https://mlsanity.com/paper/2511.15253/) (2025)
- [GestureLens: Visual Analysis of Gestures in Presentation Videos](https://mlsanity.com/paper/2204.08894/) (2022)
- [Learning Through AI-Clones: Enhancing Self-Perception and Presentation Performance](https://mlsanity.com/paper/2310.15112/) (2023)
- [Probing Experts' Perspectives on AI-Assisted Public Speaking Training](https://mlsanity.com/paper/2507.07930/) (2025)

## Abstract (arXiv)

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.
