Bioacoustics · Generative AI · Clinical Wellness — R&D / Active Development
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AURALINK concept visual: two generations connecting through shared biometric music, 'Link up your Aura'
Fig. 0 — Concept Visual: Intimate Symphony — Interpersonal Bio-Synchronization AURALINK Campaign Series
Bioacoustics · Generative AI · Wearable Sensing · Music Therapy

AURALINK mark AURALINK

Generative Biometric Soundscapes — An Adaptive Bio-Music Instrument That Translates Interpersonal Physiology Into Synchronized, Generative Musical Structure

AURALINK turns the human body into the instrument. Heart rate, breath, and shared physiological rhythm become the live input to a generative composition engine — designed to make musical expression accessible to anyone with a pulse, and to replace the anxiety of a hospital monitor's beep with music written by the patient's own body.

Concept & Creative Direction Java Roque (Javier Roqueni)
Origin Berklee Music Hackathon, Boston 2026
Status R&D — Academic Submission Under Review
Validated By
Live pitch to Google DeepMind team
Academic Track
HARMONICS 2026 Conference Submission
Team
Berklee · Harvard Medical School · Northeastern
Current Phase
R&D — Prototype Iteration
Contents
  1. Overview — Music as a Biological Output
  2. The Architecture — Real-Time Bio-Mutation
  3. Core Capabilities — The Interpersonal & Clinical Engine
  4. From Hackathon to Peer Review
  5. Applications — Six Use Domains
  6. Simulation — Live Tempo Mapping & Two-Heart Polyrhythm
  7. Research Foundation & Team
  8. Status & Roadmap

01. Overview

Music as a Biological Output, Not a Static Medium

Music has historically required two things of its maker: trained motor skill and access to an instrument. AURALINK removes both requirements. It is a bioadaptive instrument that transforms real-time physiological signal — starting with heart rate, and architecturally designed to extend to breath, movement, muscle tension, and brainwave activity — into generative, evolving musical structure. The body itself becomes the instrument; existing is the act of composition.

The motivating use case is deliberately broad. A bedridden patient, a person with a motor disability, an anxious child before a medical procedure, an elderly person separated from their grandchild by distance — none of them can necessarily play a piano. All of them have a heartbeat. AURALINK is built on the premise that musical expression should not require the body to perform anything beyond being alive.

The project originated as a concept by Java Roque (Javier Roqueni), and was built into a working demo by a cross-disciplinary team at the Berklee Music Hackathon in Boston, sponsored by Google DeepMind and Ableton. The team pitched the live system to the Google DeepMind team on-site and received strong, specific feedback that has directly shaped the project's current research direction — detailed in §4. AURALINK is now in active R&D, with a formal academic submission under review at a peer-reviewed conference on music, medicine, and science (§6).

02. The Architecture

Real-Time Bio-Mutation — From Heartbeat to Score

The hackathon build engineered a complete, low-latency pipeline from raw human vitals to generative audio output. Three stages compose the system:

Stage 01
Bio-Capture
Raw heartbeat data (ECG / PPG) captured continuously via Apple Watch CoreBluetooth, or a Polar H10 chest strap streaming over Bluetooth LE for higher-fidelity R-R interval data.
Stage 02
Real-Time Ingestion
Biometric signal is ingested and routed through a custom Python real-time stream, normalizing BPM and beat-timing data for downstream musical mapping with sub-second latency.
Stage 03
AI Processing & Output
The data stream feeds a generative audio engine — prototyped on Google DeepMind's Magenta RealTime 2 — composing a dynamic, reactive, continuously evolving ambient score.
Live data pipeline flow diagram presented on stage at the Berklee Music Hackathon
Fig. 1 — Data Pipeline Flow, as presented live to the Google DeepMind team · Berklee Music Hackathon 2026

The system runs end-to-end on consumer hardware: a laptop, a wrist-worn or chest-worn heart rate sensor, and standard audio output. No clinical-grade or custom hardware is required for the core experience, which is a deliberate design constraint — accessibility depends on the system working outside a lab.

03. Core Capabilities

The Interpersonal & Clinical Engine

At the heart of AURALINK is the mapping of raw physiological data into emotional and clinical resonance. Four capabilities define the current system:

[Input] Heart Data Source
[01]
Synthetic Voice
Instrument input routed dynamically as a live analog synthesizer engine.
[02]
Temporal Master
Real-time biometric BPM input acts as the master conductor, directly controlling tempo and flow.
[03]
Harmonic Interaction
Concurrently tracks two users' physiological data, generating a real-time musical dialogue.
[04]
Polyrhythmic Complexity
Synchronized heartbeats between two connected users produce intricate, cross-functional polyrhythms.

Capability [03] and [04] together constitute AURALINK's most distinctive proposition: it is not a single-user biofeedback toy, but a system for relational sound. Two people's physiological states, tracked concurrently, produce a shared composition that exists only because both of them exist in that moment — a duet that neither party can perform alone, and that requires no musical training from either.

04. From Hackathon to Peer Review

Validation Arc — Building, Pitching, and the Honest Result

AURALINK's first working build was completed in roughly 36 hours at the Berklee Music Hackathon in Boston, under the sponsorship of Google DeepMind and Ableton. The team — spanning music composition, clinical neuroscience, and applied AI backgrounds — built the full bio-capture-to-audio pipeline live and pitched the working demo on stage to the Google DeepMind team in attendance.

Javier Roqueni presenting the AURALINK biometric sensing architecture on stage, Google DeepMind sponsor banner visible
Fig. 4 — Presenting the Full Biometric Sensing Architecture to the Google DeepMind Team · Berklee Music Hackathon 2026
Team working on the AURALINK pipeline during the hackathon
Building the bio-capture pipeline
Team members collaborating on laptops during the hackathon
Late-stage integration, hours before pitch
Javier Roqueni presenting AURALINK at the Berklee Music Hackathon podium
Live pitch to the Google DeepMind team
Audience applauding the AURALINK presentation
Audience response, post-demo

The feedback from the Google DeepMind team was direct and specific — and it surfaced a real engineering tradeoff that now defines the project's R&D direction. The hackathon prototype, which used Magenta RealTime 2 to compose all audio live from heart rate input, proved the concept worked: pulse could drive a coherent, evolving score in real time. But the generative audio quality lagged behind what a clinical or wellness deployment would need to feel trustworthy and pleasant on first listen.

The honest finding: a live generative model composing everything from scratch demonstrates feasibility but trades away polish. For clinical and wellness contexts — where simple operation and immediately pleasant sound quality are what drive real-world adoption — that tradeoff runs the wrong direction. This is the central engineering insight carried into the next iteration of AURALINK, detailed in the academic submission below.

The Team

AURALINK was built by a five-person, cross-disciplinary team spanning music composition, clinical neuroscience, and applied AI — including a Harvard Medical School researcher whose involvement grounds the project's clinical framing in real biomedical research, not just intuition.

NameRoleAffiliation
Javier Roqueñi (Java Roque) Composer & Producer — Concept Lead Berklee College of Music; SAE Institute (Audio Engineering), Mexico
Dr. Anees Kazi AI & Clinical Neuroscience Research Harvard Medical School · Massachusetts General Brigham
Will Daly Graduate Researcher — AI / Biofeedback Synthesis Northeastern University
Linh Le Web & App Development University of the People
Dania Myers Front-End Development Full-Stack Coding Program

05. Applications

Six Use Domains — Bridging Art, Medicine, and Human Performance
[01]
Universal Instrument
Improvise to your heartbeat. No training, no instrument — composition by existing.
[02]
Intimate Symphony
Two people share a living, bio-vital composition built from their intertwined vitals.
[03]
Clinical Transformation
Healing, personalized composition replaces anxiety-inducing hospital monitor beeps.
[04]
Deep Wellbeing & Sleep
Guided REM soundscapes that adapt dynamically to the body's natural relaxation cycles.
[05]
Adaptive Sports Audio
A soundtrack that breathes with the runner — intensity rises with heart rate, mellows on recovery.
[06]
Bio-Reactive Gaming
A dynamic score that scales fear and excitement in direct response to the player's own physiology.

Two applications anchor the project's clinical ambition. In hospital settings, AURALINK is designed to protect the mental health of long-term patients — replacing the anxiety-inducing beep of a vitals monitor with a personalized, ambient score generated from the patient's own physiology. And in interpersonal use, it offers loved ones — separated by distance, ability, or circumstance — a way to connect their biometrics and hear another person's emotional state directly, without words.

Campaign visual: AURALINK adaptive sports audio concept, 'Listen to your Heart'
Concept visual — Adaptive Sports Audio
Campaign visual: two generations connecting via AURALINK, 'Link up your Aura'
Concept visual — Intimate Symphony

06. Simulation

Live Tempo Mapping and Two-Heart Polyrhythm

Part A — The Temporal Master

The simulation below demonstrates AURALINK's core mapping: a live cardiac waveform driving musical tempo and compositional intensity directly. Drag the slider to change the simulated heart rate and watch the system's generative state respond — exactly as the live pipeline does with real biometric input.

Heart Rate
72 BPM
Physiological State
Resting
Generative Mood
Ambient / Lydian
Rhythmic Subdivision
Quarter Notes
45 BPM — Deep Rest 110 BPM — Active 180 BPM — Sprint

Part B — Harmonic Interaction: Two-Heart Polyrhythm

This visualization renders AURALINK's relational core: two independently adjustable heart rates, tracked concurrently, generating the polyrhythmic relationship between them. Set each user's BPM to see the resulting rhythmic ratio — the structure of the "musical dialogue" the system would compose between two connected people.

Preset pairs:
2 : 3
Approximate Rhythmic Ratio (User A : User B)
User A — 60 BPM
User B — 90 BPM

07. Research Foundation & Team

From Demo to Peer-Reviewed Submission

Following the hackathon, the project's clinical and interoceptive-awareness potential was developed into a formal research submission, refining the Magenta-RealTime-2 prototype into an architecture better suited to clinical and wellness deployment: a Polar H10 chest strap streaming heart rate over Bluetooth into Ableton Live, where the HeartSync plugin (Conscious Audio) maps pulse to tempo against musical material composed in advance to remain coherent across the full resting-to-active tempo range.

Conference Submission — Peer Review
AURALINK: Heart-Rate-Driven Music Synthesis for Interoceptive Training and Clinical Wellness
Francisco Javier Roqueñi Healy1* (Java Roque), R. William Daly2*, Dr. Anees B. Kazi3,4
1Department of Music Composition, Berklee College of Music, Boston, USA
2Applied AI, Northeastern University, Boston, USA
3Athinoula A. Martinos Center for Biomedical Imaging, Radiology Department, Massachusetts General Hospital, Boston, USA
4Radiology Department, Harvard Medical School, Boston, USA
* Equal contribution
Submitted to HARMONICS 2026 — The International Conference on Music, Medicine & Science
Clinical Rigor on the Team
Co-author Dr. Anees B. Kazi is a researcher at the Athinoula A. Martinos Center for Biomedical Imaging (Massachusetts General Hospital Radiology Department) and Harvard Medical School, working at the intersection of AI, neuroscience, and biomedical imaging. His involvement anchors AURALINK's clinical and interoceptive-awareness claims in active biomedical research practice, not just engineering intuition — a key reason the project has a credible path to pilot testing in real clinical settings.

The submission's reported finding, in the authors' words: hearing music locked to one's own pulse, in informal self-testing, "heightened awareness of the heartbeat," suggesting promise as an accessible interoceptive-awareness tool relevant to anxiety management, meditation, and music therapy. The team proposes a live conference demonstration — letting attendees hear their own cardiac rhythm as music — alongside discussion of extensions mapping heart-rate variability (HRV) to musical intensity, and planned pilot observations of interoceptive awareness.

Why This Matters for the Architecture
The shift from "AI composes everything live" to "AI maps biometric input onto pre-composed, musically robust material" is not a retreat from ambition — it is the result of direct, expert feedback from a generative-AI research team applied to a real deployment constraint. It reflects a broader design principle AURALINK now follows: in clinical and wellness contexts, the generative system's job is to stay faithful to the body's signal, not to maximize novelty in the output.

08. Status & Roadmap

Current Phase — R&D and Open Collaboration
MilestoneStatus
Concept and creative directionComplete — Java Roque
Hackathon prototype (Magenta RealTime 2 pipeline)Complete — Berklee Music Hackathon 2026
Live pitch to Google DeepMind teamComplete — positive, specific feedback received
Clinical-grade prototype (Polar H10 / Ableton / HeartSync)In progress
Academic submission — HARMONICS 2026Submitted, under review
HRV-mapped musical intensityPlanned extension
Pilot observations of interoceptive awarenessPlanned
Multi-modal biometric input (EEG, EMG, respiration)Architecturally planned, not yet built

AURALINK is presented here as an active research project, not a finished product. The path forward runs through clinical pilot testing, refinement of the tempo-mapping engine for musical robustness across a full physiological range, and expansion of the sensing layer beyond heart rate toward the full multi-modal vision sketched in the original concept — breath, movement, muscle tension, and brain activity, each contributing to a single bio-adaptive score. The project remains open to collaboration with researchers in clinical neuroscience, generative audio, and human-computer interaction.