发表机构
Yonsei University（延世大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
提出CTAG-FX，将文本条件合成器的78个参数重新诠释为音色塑造效果器控制，经信号分析和打乱消融验证，证明合成器参数空间可作为音频效果器控制空间的设计资源。
AI 中文摘要
近期的文本引导音频效果器研究主要集中于将自然语言描述转换为现有效果器系统中的参数或链配置。然而，对于单个效果器处理器的内部控制空间本身如何构建，相关关注相对较少。为弥补这一空白，我们提出CTAG-FX，它在功能上将文本条件合成器配置中的78个参数的角色重新诠释为音色塑造效果器处理器的控制参数。每个合成器配置定义一个固定的音色塑造处理器，可重复应用于新的音频输入，而非仅产生一次性渲染输出。文本条件合成器配置通过A&R-CTAG生成，这是CTAG的一种检索增强扩展。我们通过信号级分析以及一种打乱映射消融实验来评估CTAG-FX，在后者中参数到控制的分配被随机排列以评估所提出的角色分配贡献。基于角色的映射产生提示区分性的频谱和非线性行为，而打乱则降低了这种提示特定区分度，并产生更不敏感于提示的非线性特征。总体而言，这些结果表明合成器参数空间不仅可作为声音生成空间，还可作为构建新音频效果器控制空间的设计资源。音频样本可在该https URL获取。
英文摘要
Recent text-guided audio FX research has focused on translating natural-language descriptions into parameters or chain configurations within existing FX systems. However, comparatively little attention has been paid to how the internal control space of an individual FX processor can itself be constructed. To address this gap, we propose CTAG-FX, which functionally reinterprets the roles of 78 parameters in a text-conditioned synthesizer configuration as controls of a tone-shaping FX processor. Each synthesizer configuration defines a fixed tone-shaping processor that can be repeatedly applied to new audio inputs rather than producing only a one-off rendered output. The text-conditioned synthesizer configurations are generated using A&R-CTAG, a retrieval-enhanced extension of CTAG. We evaluate CTAG-FX through signal-level analysis, together with a scrambled-mapping ablation in which parameter-to-control assignments are randomly permuted to assess the contribution of the proposed role assignment. Role-based mapping produces prompt-distinct spectral and nonlinear behavior, whereas scrambling reduces this prompt-specific differentiation and yields a more prompt-insensitive nonlinear profile. Overall, these results suggest that synthesizer parameter spaces can serve not only as sound-generation spaces but also as design resources for constructing new audio-FX control spaces. Audio samples are available at https://taylor3527eg-hub.github.io/ctag-fx-platform-demo/.
Comments8 pages, 8 figures, 3 tables
