Voice Driven Internal Physiological Imaging

A method for generating, instantiating, or operationalizing an Adaptive Voice-network, the method comprising:

• identifying or selecting one or more features, functions, or rules of a Voice-network (“Attributes”);
• converting the selected Attributes into one or more Adaptive Voice-network architectures or applications (“AVAA”) by applying one or more state, representational, or structural transformations;
• integrating one or more of the selected Attributes and/or said AVAA, with one or more entities comprising data structures, functions, models, simulations, system architectures, or computational architectures (“Entities”), through composition or coupling of representations, models, or architectures (“Tools”), to support embedding, linking, learning, parameterization, optimization, inference, control, generation, interoperability, or multimodal integration (“Functions”);
• and
• operationalizing one or more of the integrated Entity Functions by executing one or more computational, control, or signal-processing operations, to support inference or modeling, control or regulation, actuation, and adaptive or generative system behavior.8. The method of claim 7, wherein the operationalizing step further comprises supporting or improving autonomous, robotic, or agentic system behavior, comprising inference, prediction, coherence, modeling, reasoning, planning, navigation, decision-making, actuation, control, regulation, coordination, optimization, dynamics, or adaptive control.

An apparatus (“Rig”) for capturing, processing, and organizing voice-derived physiological data, the apparatus comprising:

• one or more non-imaging sensor modules configured to detect voice-derived physiological and/or noise data (“Rig Data”) comprising one or more of vibrational, acoustic-elastic, biomechanical, piezoelectric, electrophysiological, electromagnetic, thermal, biochemical, nonlinear optical, second harmonic generation, and stochastic noise signals generated before, during, or after voicing, or during a resting state of a voicer;
• a structural positioning assembly configured to locate said one or more non-imaging sensor modules at one or more craniofacial, cerebral, cervical, thoracic, lumbar, sacral, appendicular, abdominal and pelvic regions (“Regions”) associated with a voicer;
• a signal-acquisition subsystem configured to receive said Rig Data and to generate corresponding signal data;
• and
• a receiving subsystem comprising one or more processors configured to:
• process and organize the signal data;
• and
• structure the signal data into a Voice-network, the Voice-network comprising a representation or search-space that numerically, geometrically, or graphically describes one or more correlative, causal, or physics-informed relationships or potential relationships among voice signals, physiological values and voice-physiology-related data;
• and
• generate a Voice-Physiology and its representation as a Voice-network into a form usable for advancing Voice-Driven Internal Imaging, advancing a Voice-network, or advancing an Adaptive Voice-network, wherein a Voice-network is a digital representation of a Voice-Physiology, and comprises operational features, functions, and rules;
• and wherein an Adaptive Voice-network comprises an axiomatic and/or geometric system, application, or architecture derived from a Voice-network.