A CNN predicts sentence-embedded commentary from Minecraft frames slightly better than a clustered baseline, but the output is retrieved from training sentences and both methods score near worst-case error.
Towards Automated Let's Play Commentary
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abstract
We introduce the problem of generating Let's Play-style commentary of gameplay video via machine learning. We propose an analysis of Let's Play commentary and a framework for building such a system. To test this framework we build an initial, naive implementation, which we use to interrogate the assumptions of the framework. We demonstrate promising results towards future Let's Play commentary generation.
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Automated Let's Play Commentary
A CNN predicts sentence-embedded commentary from Minecraft frames slightly better than a clustered baseline, but the output is retrieved from training sentences and both methods score near worst-case error.