# Automated Let's Play Commentary

arXiv: https://arxiv.org/abs/1909.02195 · HTML: https://mlsanity.com/paper/1909.02195/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Sep 2019.

## Built on by (most cited first, 2 of 2)

- [Fighting Game Commentator with Pitch and Loudness Adjustment Utilizing Highlight Cues](https://mlsanity.com/paper/2108.08112/) (2021)
- [Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset](https://mlsanity.com/paper/2404.19175/) (2024)

## Abstract (arXiv)

Let's Plays of video games represent a relatively unexplored area for experimental AI in games. In this short paper, we discuss an approach to generate automated commentary for Let's Play videos, drawing on convolutional deep neural networks. We focus on Let's Plays of the popular game Minecraft. We compare our approach and a prior approach and demonstrate the generation of automated, artificial commentary.