Playback Control Using Blockchain-Driven Generative Audio
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Solution Overview
Problem
Existing media playback systems lack the ability to dynamically generate and modify content in real-time based on user inputs and environmental data, limiting the creation of unique and personalized audio experiences.
Innovation Solution
A media playback system that utilizes generative media content, which is dynamically synthesized and modified by algorithms, incorporating user and environmental data to create unique audio experiences tailored to user emotional states, location, activity, and other inputs, and can be stored and accessed via blockchain technology.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional media playback systems are used, then basic audio playback is achieved, but the ability to dynamically generate and modify content in real-time is limited
Solution Approach 1:
The patent implements dynamic media content generation by transitioning from static pre-recorded content to algorithmically generated content that adapts in real-time. The system dynamically adjusts media parameters based on user inputs, environmental sensor data, and contextual information, enabling the playback system to continuously evolve the content rather than simply reproducing fixed recordings.
Solution Approach 2:
The generative media system performs self-service by automatically generating and modifying content based on sensor inputs and user preferences without requiring manual intervention. The algorithms autonomously process environmental data, user state information, and playback context to create personalized media experiences, reducing the need for user configuration and system management.
2Adaptability or versatility
If generative media content is implemented, then personalized audio experiences are created, but data processing requirements increase
Solution Approach 1:
The patent segments the generative media system into distributed components including local playback devices, cloud-based generative models, and sensor networks. This segmentation allows computationally intensive generative operations to occur in the cloud while local devices handle lighter real-time control and playback tasks, distributing the energy burden across multiple nodes rather than concentrating it in a single device.
Solution Approach 2:
The system performs preliminary actions by pre-processing user profiles, environmental contexts, and media parameters before actual playback. Generative models prepare content templates and adjustment rules in advance based on anticipated user preferences and typical environmental conditions, reducing the computational load required during real-time playback adjustments.
3Ease of operation
If real-time adaptation to user inputs is enabled, then user engagement is enhanced, but response time requirements increase system demands
Solution Approach 1:
The patent implements continuous sensing and gradual adaptation rather than discrete, abrupt changes. Sensors continuously monitor environmental conditions and user state, and the generative media system continuously adjusts playback parameters in small increments. This continuous action smooths processing demands over time rather than creating periodic spikes, maintaining real-time responsiveness while managing system load.
Solution Approach 2:
The system employs periodic sampling of sensor inputs and periodic updates of media parameters at optimized intervals. Rather than processing every sensor reading immediately, the system aggregates inputs over defined periods and applies adjustments at appropriate moments, reducing the frequency of computationally intensive operations while maintaining perceptual responsiveness to user needs.
Data Source
AI summary
Generative media content (e.g., generative audio) can be dynamically generated based on various inputs, which can include blockchain data. A playback device accesses blockchain data stored via a distributed ledger and generates media content based at least in part on the blockchain data. The playback device can access a library of pre-existing media segments and arrange a selection of pre-existing media segments from the library for playback according to a generative media content model and based at least in part on the blockchain data. The generated media content can then be played back via the playback device.


