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DEEP LEARNING ARCHITECTURE

Neural Visemes & Phonation Synthesis

How Prism models the human vocal tract, harmonic glottal pulses, and facial lip musculature in real-time.

01 // TIMBRE PRESERVATION

Zero-Shot Timbre Decomposition

Conventional text-to-speech collapses speaker individuality into generic robotic cadences. Prism extracts over 2,048 acoustic feature dimensions—including nasal resonance, vocal fold mass, and micro-tremors—to reproduce authentic human presence.

  • 3-second reference audio requirement
  • Background noise suppression & isolation
  • Full support for accents and non-standard dialects
TIMBRE VECTOR RADAR FIDELITY: 99.8%
Formant Dispersion (F1/F2): Matched ±0.4 Hz
Jitter & Shimmer Variance: <0.02% (Natural)
Prosodic Flow Continuity: 100% Retained
FACIAL MESH TOPOLOGY 68 LANDMARKS // 60 FPS
Orbicularis Oris
Zygomaticus
Mentalis
Buccinator
Risorius
Depressor Labii
02 // VISUAL COHERENCE

Neural Viseme Video Retargeting

Translating dialogue into a language with vastly different syllables creates uncanny valley disconnects. Prism modifies only the lower facial mask in high definition (4K UHD) while preserving natural head motion, lighting, and expressions.

  • 4K 60fps render pipeline
  • Teeth, tongue, and throat depth reconstruction
  • Compatible with HDR10 and Dolby Vision color pipelines