Enhanced Systems for Generating Unique Non-Looping Sound Streams

Publication ID: 24-11857880_0001_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Systems for Generating Unique Non-Looping Sound Streams,” Published Technical Disclosure No. 24-11857880_0001_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857880_0001_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

An innovative system for generating unique non-looping sound streams from audio clips and tracks, incorporating machine learning, real-time environmental noise detection, and personalized audio experiences.

Background and Problem Solved

The original patent disclosed systems for generating sound streams from audio clips and tracks, but faced limitations in terms of repetition, diversity, and user experience. The new inventive concept addresses these limitations by introducing advanced technologies to create more immersive, adaptive, and engaging audio experiences.

Detailed Description of the Inventive Concept

The enhanced system utilizes a machine learning algorithm to predict and adapt the sound stream based on the user's listening history and preferences. Additionally, the system incorporates real-time environmental noise detection to adjust the audio segments and cross-fading, creating a more realistic audio experience. Furthermore, the system allows for personalized sound streams through user feedback and adaptation. The system can also generate 3D audio sound streams using spatial audio processing techniques.

Novelty and Inventive Step

The new inventive concept introduces the novel application of machine learning, real-time environmental noise detection, and personalized audio experiences to the original patent's systems for generating sound streams. These advancements provide a non-obvious solution to the limitations of the original patent, enhancing the overall audio experience and providing a more engaging and realistic sound stream.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of natural language processing to analyze user feedback, incorporating additional sensors to detect user emotions, or utilizing edge computing to reduce latency and improve performance. Variations of the system could be implemented for specific industries, such as gaming, healthcare, or education.

Potential Commercial Applications and Market

The enhanced system has significant commercial potential in various industries, including gaming, relaxation and wellness, education, and healthcare. The system's ability to provide personalized and immersive audio experiences could revolutionize the way people interact with audio content, creating new business opportunities and revenue streams.

CPC Classifications

SectionClassGroup
A A63 A63F13/54
G G06 G06F3/165

Field of Art

Audio signal processing and interactive media systems, with expertise in sound stream generation, digital audio manipulation, and adaptive audio experiences across entertainment and interactive platforms

Person of Ordinary Skill (PHOSITA) Profile

A skilled practitioner with advanced knowledge in digital signal processing, machine learning, audio engineering, and interactive media design, typically holding a master's degree in electrical engineering, computer science, or related field with 3-5 years of industry experience in audio technology

Obviousness Rationale

A person having ordinary skill in the art would recognize that the published technical disclosure represents predictable variations and extensions of the source patent's core audio stream generation methodology. The proposed machine learning, environmental adaptation, and personalization techniques are logical technological progressions that would be apparent to a skilled practitioner seeking to enhance audio stream generation systems. These variations represent incremental improvements using known techniques within the established technological framework of adaptive audio generation.

Obvious Combinations & Variations

Source Patent Element
Method of mixing audio segments from multiple source clips to generate sound streams
PTD Variation
Incorporating machine learning algorithm to predict and adapt sound stream selection based on user listening history
Obviousness Reasoning
Applying machine learning to audio segment selection is a predictable optimization technique, representing a known approach to personalizing content generation in digital media systems
Source Patent Element
Cross-fading audio tracks with selectable playback conditions
PTD Variation
Real-time environmental noise detection to dynamically adjust audio segments and cross-fading parameters
Obviousness Reasoning
Integrating contextual sensing with audio generation is a standard design approach for creating adaptive, responsive media experiences using well-established sensor integration techniques
Source Patent Element
Audio track generation with user-controllable playback
PTD Variation
Generating 3D audio sound streams using spatial audio processing techniques
Obviousness Reasoning
Extending audio generation to spatial audio representation is a logical technological progression using known signal processing methods to enhance immersion and audio experience
Source Patent Element
Mixing audio segments from multiple source clips
PTD Variation
Using natural language processing to analyze user feedback and refine audio segment selection
Obviousness Reasoning
Applying natural language processing to user interaction data represents a standard machine learning approach for iterative content refinement in interactive media systems
Source Patent Element
Sound stream generation method with selectable audio segments
PTD Variation
Personalized sound stream generation by collecting and adapting to user mood and preferences
Obviousness Reasoning
Creating personalized content through user feedback is a predictable design choice in interactive media, representing a standard approach to enhancing user engagement
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857880 and the published technical disclosure, a person having ordinary skill in the art would find the proposed variations in sound stream generation to be obvious extensions of existing audio processing techniques. The disclosed innovations represent predictable combinations of known methods in digital audio manipulation, machine learning, and interactive media design, thereby rendering potential patent claims covering similar technical approaches obvious and unpatentable.

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.