Core Concepts
Generative AI can be leveraged to automatically create high-quality background music and sound effects for user-generated content in video games, overcoming the challenges of manual audio creation.
Abstract
The paper explores the use of generative artificial intelligence (AI) to create audio content for user-generated content (UGC) in video games. Traditional methods of audio creation for video games are time-intensive and require specialized skills, leading to an imbalance between the visual and auditory aspects of UGC.
The authors present two prototype games that leverage generative AI to create audio content for user-generated environments and objects:
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Game 1: User-Generated Environments
- Allows users to create custom 2D platform game levels
- Generates background music using MusicGen, a generative AI model, based on a text description of the level's mood
- Explores two methods for generating the text description: using the background gradient colors and using an image-to-text captioning model
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Game 2: User-Generated Objects
- Allows users to build custom vehicles to cross rough terrain
- Generates sound effects using AudioGen, a generative AI model, based on a text description of the vehicle
- Explores two methods for generating the text description: using the vehicle components and using an image-to-text captioning model
The authors discuss the ethical considerations of using generative AI for audio creation, emphasizing the importance of maintaining the role of human audio creators and ensuring the responsible use of AI. They also highlight the high quality of the generated audio and the responsiveness of the system, demonstrating the potential of generative AI to enhance the user experience in UGC scenarios.
The authors plan to further explore incorporating pre-created game audio into the AI training datasets and enabling human-in-the-loop audio generation, where users can iteratively refine the text prompts to generate the desired audio.
Stats
The paper does not provide any specific numerical data or metrics. It focuses on the qualitative assessment of the generated audio and the technical capabilities of the system.
Quotes
"Generative AI technologies offer unique advantages in addressing the audio challenges for UGC. These algorithms provide unparalleled flexibility and adaptability, capable of producing diverse and dynamic audio content tailored to specific project requirements."
"While we cannot be sure that the training datasets are unbiased, this does alleviate issues surrounding stolen or misused audio."
"We are not proposing to replace audio creators with generative AI either. Rather, we envision audio creators using generative AI as a tool – enabling the software to base audio off of their expertly created music and sound effects."