Abstract
This disclosure describes a method for procedural acoustic entrainment and generative multi-user music synthesis in which the oscillators of discrete mobile devices are governed by continuous scalar phase fields derived from immutable biometric birth ephemeris. Each device acts as one voice in a decentralized additive synthesizer: the fundamental frequency, waveform timbre, and rhythmic LFO rate are determined by the user's biometric personal data (biological frequency ω_bio, biological polarity, and Maya Tzolkin galactic tone), while the harmonic relationships between simultaneously audible voices are determined by the pairwise resonance metric k = 1/(1 + |sin(Δφ)|) computed from the phase difference between users' personal phases φ_i.
The system converts geographic social consensus (spatial co-presence of users within a hexagonal cell of a Goldberg polyhedron tessellation) into a real-time acoustic chord whose harmonic quality directly reflects the phase alignment of the participants. As k → 1 (optical singularity), the chord resolves to unison or perfect consonance; as k → 0.5 (maximum dissonance), the chord produces acoustic beating and tension. No musical training, conductor, or central server is required: the harmony emerges entirely from the physical proximity and biometric alignment of participants.
Applications include: decentralized location-based musical events, proof-of-presence rituals with acoustic feedback, gamified social coordination rewarding geographic phase alignment, and a novel form of "social sonar" converting invisible phase relationships into audible chord progressions.
Prior art: additive synthesis (standard), binaural beats (standard), generative music (standard). No prior combination of biometric birth phase fields, Tzolkin calendar galactic tones, and pairwise phase resonance metrics as oscillator control parameters for collective additive synthesis is known to the authors.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
RENAULT, Frédéric, "Decentralized Additive Synthesis Orchestra Governed by Biometric Phase Fields for Collective Acoustic Entrainment", Technical Disclosure Commons, (June 03, 2026)
https://www.tdcommons.org/dpubs_series/10330