QuAP is a working prototype combining similarity-based audio retrieval, real-time procedural models, and a perceptually guided parameter assistant, with evaluations showing quality gains in five of six synthesis models and positive feedback from 16 practitioners.
Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation
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abstract
Sound design workflows frequently oscillate between time-consuming library searches and the complexity of procedural synthesis, with practitioners typically relying on disconnected tools to address each challenge separately. This paper introduces Quality Audio Prototyping (QuAP), a working prototype that unifies content-based audio retrieval and procedural sound generation within a single interface, reducing the procedural distance between a narrative concept and its sonic realisation. QuAP integrates a similarity-based retrieval engine with real-time procedural audio models, complemented by a rule-based assistant that provides perceptually informed parameter guidance, offering definitions and recommendations derived from empirical optimisation rather than requiring prior synthesis knowledge. Preliminary evaluation confirms the viability of this approach: subjective assessment demonstrated statistically significant quality improvements in five of six embedded synthesis models, and an encoder ablation study established the preferred retrieval architecture on a sound effect dataset. A user evaluation with 16 practitioners confirmed the tool's workflow utility, with all participants agreeing that the parameter assistant preserved creative agency while lowering the barrier to procedural interaction.
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cs.SD 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
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Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation
QuAP is a working prototype combining similarity-based audio retrieval, real-time procedural models, and a perceptually guided parameter assistant, with evaluations showing quality gains in five of six synthesis models and positive feedback from 16 practitioners.