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arXiv · 2609.39044

Game Sound-Effect Completion with Event-Level Transformation Hints

Xinrui Jiang·Heng Yu
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Abstract

Creating sound effects for a new game-character skin requires a distinct acoustic identity while preserving gameplay-event roles. The challenge is to complete a coherent set of related sounds whose required degrees of redesign differ. We formulate this task as completion conditioned on base-skin audio, completed target assets, and a textual design description. We develop a pipeline to collect, process, and align corresponding events across League of Legends skins. Building on Stable Audio 3's pretrained audio prior, we fine-tune a latent inpainting model to jointly complete missing events. A signed soft retention mask encodes available audio and an adjustable transformation hint for each missing event, specifying the requested balance between retention and redesign. Experiments on held-out skins show improved reconstruction over the evaluated general-purpose audio editors. Target-derived hints further improve paired similarity, with three-level hints retaining most of the benefit of continuous guidance.

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Xinrui Jiang, Heng Yu. 2026-09-30. Game Sound-Effect Completion with Event-Level Transformation Hints. https://arxiv.org/abs/2609.39044

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