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Data Management

AI for Video Game Testing and Music Processing

12 . 10 . 2022
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Summary

In the last decade, the game industry has seen a lot of changes to accommodate the continuous need for new content. Games changed from being a product that is created by small teams to allow for a couple of hours of experience to a continuous service that requires updates and additional content all the time.


The current development methodologies only consider hiring more humans to cope with this increase. This is not sustainable as the game production cost increases exponentially. The industry needs to start adopting AI methods to help with the increased demand for new content which will lead to a decrease in production costs. For this to happen, we need to understand the challenges and needs that are facing the industry.

This white paper shows the results from the surveys with our industry partners which explored the idea of using AI-powered tools for quality assurance (QA) testing and music analysis/synthesis. The surveys showed that these tools should not replace humans but should rather enhance their work experience by helping them to discover bugs faster or inspiring them to create music.


Author/s:

MODL - IRCAM


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Keywords

Video Game; Music processing; production costs;

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AI for Video Game Testing and Music Processing

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