Enhanced Systems for Generating Unique Non-Looping Sound Streams
Legal Citation
Summary of the Inventive Concept
This inventive concept improves upon the original patent by leveraging machine learning algorithms, deep learning models, and real-time audio processing to generate unique non-looping sound streams from audio clips and audio tracks, providing a seamless and immersive listening experience.
Background and Problem Solved
The original patent's method for generating sound streams from audio clips and tracks has limitations in terms of audio segment selection and cross-fading techniques, leading to a less-than-optimal listening experience. This new inventive concept addresses these limitations by introducing advanced technologies to optimize the audio generation process.
Detailed Description of the Inventive Concept
The enhanced system utilizes machine learning algorithms to analyze user feedback and preference data, adapting the selection of audio segments and cross-fading techniques in real-time. Additionally, deep learning models are employed to select the most suitable audio segments from a plurality of audio source clips. The system also incorporates real-time audio processing and analysis to adapt to changes in the audio input, ensuring a dynamic and immersive audio experience.
Novelty and Inventive Step
The new claims introduce the use of machine learning algorithms, deep learning models, and real-time audio processing, which are not present in the original patent. These advancements provide a significant improvement in the audio generation process, resulting in a more seamless and immersive listening experience.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept could include the use of other AI-powered audio processing techniques, such as natural language processing or computer vision, to further enhance the audio generation process. Additionally, the system could be integrated with virtual or augmented reality platforms to provide a more immersive experience.
Potential Commercial Applications and Market
This inventive concept has significant commercial potential in the music and entertainment industries, particularly in the areas of relaxation and meditation, as well as in the development of immersive audio experiences for virtual and augmented reality applications.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A63 | A63F13/54 |
| G | G06 | G06F3/165 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Audio signal processing, digital sound generation, and interactive media systems with a focus on adaptive sound stream creation and user experience design
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in digital signal processing, machine learning, audio engineering, and interactive media technologies, typically holding a master's or PhD in electrical engineering, computer science, or related field with 3-5 years of industry experience in audio technologies
Obviousness Rationale
A person having ordinary skill in the art would recognize that applying machine learning and real-time adaptive processing techniques to the existing audio stream generation method represents a predictable technological evolution. The source patent's foundational approach of mixing and cross-fading audio segments naturally invites algorithmic optimization through machine learning techniques. The proposed variations represent straightforward technological extensions using well-established machine learning approaches to enhance the core audio generation methodology.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,880 |
|---|---|
| Title | Systems for generating unique non-looping sound streams from audio clips and audio tracks |
| Assignee(s) | SYNAPTICATS, INC. |