Using Vowel Characteristics for Multi-channel Signal Decorrelation and Reverberation

This paper presents a novel audio decorrelation method that integrates velvet noise with parametric modeling of vowel filters derived from recorded speech. By capturing vocal timbre, the technique extends decorrelation and artificial reverberation tools, offering new creative possibilities. Velvet noise is filtered to model vowel resonances, enabling users to imprint speech or singing characteristics onto multichannel effects. Inspired by choir acoustics, the system synthesizes distinct vowels per channel, producing speech-like textures that are convolved with input audio. The approach emphasizes immersive, voice inspired sound design, with discussion of implementation challenges, creative applications, listening tests, and directions for future research.