一站式音效设计工具，让概念到声音的转化更高效。
Quality Audio Prototyping: a prototype system for unified sound retrieval and procedural generation
- 整合检索与生成，统一界面实现音效快速获取与创作
- 五类生成模型在主观评测中质量显著提升
- 规则助手提供直观参数建议，降低创作门槛
音效设计常在耗时的库搜索和复杂的程序合成间来回切换，从业者通常依赖孤立工具分别应对。本文提出质量音频原型系统（QuAP），将基于内容的音频检索与实时程序化音频生成集成于单一界面，缩短从叙事概念到声音实现之间的过程距离。QuAP融合相似性检索引擎与实时程序化音频模型，并配备基于规则的助手，提供基于实证优化的感知导向参数建议，无需合成经验即可使用。初步评估验证了该方法的有效性：主观评价显示六种嵌入式合成模型中有五种质量显著提升；编码器消融研究确立了在音效数据集上的优选检索架构。16位从业者参与的用户评估证实工具实用性，所有参与者均认为参数助手在保持创作自主性的同时降低了程序交互难度。
原文摘要 · Abstract (English)
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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