Using Vowel Characteristics for Multi-channel Signal Decorrelation and Reverberation
Abstract
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.
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