Leveraging AI to Generate Audio for User-generated Content in Video Games

TL;DR

This paper explores using generative AI to produce real-time audio for user-created content in video games, addressing the challenge of creating diverse sounds for limitless user-generated environments and objects.

Contribution

It introduces two novel methods for AI-driven audio generation based on text descriptions and images of user content in video games.

Findings

Prototype games demonstrate real-time audio generation for user-created content.

AI methods successfully produce contextually relevant environmental sounds.

Discussion includes ethical considerations of AI-generated game audio.

Abstract

In video game design, audio (both environmental background music and object sound effects) play a critical role. Sounds are typically pre-created assets designed for specific locations or objects in a game. However, user-generated content is becoming increasingly popular in modern games (e.g. building custom environments or crafting unique objects). Since the possibilities are virtually limitless, it is impossible for game creators to pre-create audio for user-generated content. We explore the use of generative artificial intelligence to create music and sound effects on-the-fly based on user-generated content. We investigate two avenues for audio generation: 1) text-to-audio: using a text description of user-generated content as input to the audio generator, and 2) image-to-audio: using a rendering of the created environment or object as input to an image-to-text generator, then piping the resulting text description into the audio generator. In this paper we discuss ethical implications of using generative artificial intelligence for user-generated content and highlight two prototype games where audio is generated for user-created environments and objects.