Spirit Voice Vocal Generator V1.0 | FHD |

Vocal synthesis, spectral morphing, formant shifting, subharmonic generation, AI voice cloning, psychoacoustics. 1. Introduction The human voice is unique: a carrier of linguistic, emotional, and biometric information. However, recent advancements in digital signal processing (DSP) and deep learning have enabled the creation of "impossible voices"—sounds that occupy the uncanny valley between human and machine, alive and spectral. The Spirit Voice Vocal Generator v1.0 was developed to systematically explore this interstitial space.

| Parameter | Range | Default | Description | |-----------|-------|---------|-------------| | Spectral Dispersion | 0 – 1.0 | 0.65 | Degree of formant stretching/compression | | Subharmonic Mix | -inf – +6 dB | -3 dB | Level of f0/2 and f0/3 components | | Turbulence Density | 0 – 1.0 | 0.4 | Amplitude of stochastic noise layer | | Temporal Smear | 0 – 50 ms | 15 ms | Phase randomization across frequency bins | | Dry/Wet Mix | 0 – 1.0 | 0.7 | Balance of original vs. processed signal | Spirit Voice Vocal Generator v1.0

This paper presents the Spirit Voice Vocal Generator v1.0 (SVVG v1.0), a novel digital audio processing system designed to synthesize hybrid vocal timbres that transcend traditional human or synthetic voice boundaries. Unlike conventional vocoders or text-to-speech (TTS) systems that aim for naturalistic reproduction, SVVG v1.0 introduces a spectral-parametric morphing engine that combines real-time formant filtering, subharmonic excitation, and stochastic noise modulation. The system generates what we term "ethereal vocal artifacts"—voices that possess phonemic intelligibility but lack a definitive source identity. This paper details the architecture, signal processing pipeline, and preliminary perceptual evaluation of v1.0, demonstrating its applications in avant-garde music composition, therapeutic voice therapy, and paranormal-ambient sound design. processed signal | This paper presents the Spirit

Author: [Reserved for Peer Review] Affiliation: [Reserved for Computational Psychoacoustics Lab] Date: April 17, 2026 This paper details the architecture