Next-Generation Audio Experience Systems

Publication ID: 24-11857880_0010_PTD
Published: October 28, 2025
Category:Future Evolutions & Paradigm Shifts

Legal Citation

pr1or.art Inc., “Next-Generation Audio Experience Systems,” Published Technical Disclosure No. 24-11857880_0010_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857880_0010_PTD
This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,880.

Summary of the Inventive Concept

This inventive concept discloses a suite of advanced audio technologies that revolutionize the way users interact with and experience audio content. By leveraging AI, machine learning, and virtual reality, these systems generate immersive, personalized, and adaptive audio experiences that transcend traditional audio playback.

Background and Problem Solved

The original patent's limitation was its focus on generating non-looping sound streams from audio clips and tracks. However, this inventive concept addresses the need for more sophisticated, interactive, and dynamic audio experiences that adapt to user preferences, emotional states, and cognitive abilities.

Detailed Description of the Inventive Concept

The inventive concept encompasses four primary components: (1) a neural network-based audio processing module that analyzes audio features and generates 3D audio scenes; (2) a rendering engine that outputs the 3D audio scene in real-time; (3) a cognitive assessment module that evaluates a user's cognitive abilities; and (4) an audio generation module that creates personalized, adaptive audio exercises tailored to the user's cognitive needs. These components work in tandem to generate immersive, interactive, and adaptive audio experiences that engage users on multiple levels.

Novelty and Inventive Step

The new claims introduce novel concepts such as AI-driven audio processing, real-time 3D audio rendering, and cognitive-based audio exercises, which are non-obvious extensions of the original patent's methodology. The inventive step lies in the integration of these advanced technologies to create a holistic audio experience system.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the audio generation module with wearable devices, incorporating haptic feedback, or using blockchain technology for secure audio data transmission. Variations could include adapting the system for use in education, healthcare, or entertainment industries.

Potential Commercial Applications and Market

This inventive concept has far-reaching commercial potential in industries such as gaming, virtual reality, education, and healthcare. The market for immersive audio experiences is expected to grow exponentially, driven by the increasing demand for personalized, interactive, and engaging audio content.

CPC Classifications

SectionClassGroup
A A63 A63F13/54
G G06 G06F3/165

Field of Art

Audio processing and interactive media systems, specifically focusing on sound generation, manipulation, and user experience technologies with expertise in digital signal processing, machine learning, and interactive audio interfaces

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced degrees in electrical engineering, computer science, or audio engineering, possessing knowledge of digital audio technologies, neural network architectures, and interactive media design with 3-5 years professional experience in audio processing systems

Obviousness Rationale

The PTD's disclosed variations represent predictable technological extensions of the source patent's foundational audio stream generation methodology by applying known machine learning and interactive technologies to enhance audio experience design. A PHOSITA would recognize that integrating neural network processing, real-time rendering, and adaptive audio generation are natural progressions of the original patent's core audio manipulation techniques. The variations demonstrate incremental improvements using standard technological approaches within the audio processing domain.

Obvious Combinations & Variations

Source Patent Element
Method of mixing audio segments from multiple source clips to generate sound streams
PTD Variation
Neural network-based audio processing module that analyzes audio features and generates 3D audio scenes
Obviousness Reasoning
Applying machine learning techniques to audio segment selection is a predictable evolution of existing audio mixing technologies, representing a known technique for enhancing audio processing capabilities
Source Patent Element
Selecting playback times and cross-fading audio tracks
PTD Variation
Generating personalized, adaptive audio streams based on user emotional state and preferences
Obviousness Reasoning
Extending audio track selection logic to incorporate user-specific parameters is an obvious design choice using well-established personalization techniques in interactive media
Source Patent Element
Audio stream generation from multiple source clips
PTD Variation
Virtual reality platform integrating audio generation module with user interface for manipulating audio objects
Obviousness Reasoning
Integrating interactive audio systems with immersive platforms represents a logical technological progression using standard interaction design principles
Source Patent Element
Method of inputting and selecting audio tracks with specific playback conditions
PTD Variation
Cognitive assessment module creating personalized audio exercises based on user's cognitive abilities
Obviousness Reasoning
Adapting audio generation systems for specialized training applications is an obvious extension of existing audio manipulation methodologies
Source Patent Element
Sound stream generation from audio clips
PTD Variation
Applying psychoacoustic models to compress and transmit high-fidelity 3D audio data
Obviousness Reasoning
Implementing advanced data compression techniques for audio transmission represents a standard engineering approach to improving signal transmission efficiency
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857880 and the disclosed technological variations, a person having ordinary skill in the art would find the claimed innovations obvious and lacking inventive step. The published technical disclosure demonstrates that the claimed audio processing and generation techniques represent predictable technological extensions utilizing standard machine learning, interactive media, and signal processing methodologies, thereby rendering subsequent similar claims obvious and non-patentable.

Original Patent Information

Patent NumberUS 11,857,880
TitleSystems for generating unique non-looping sound streams from audio clips and audio tracks
Assignee(s)SYNAPTICATS, INC.