Audio Blending Transitions for Seamless Personalized Sequencing
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Solution Overview
Problem
Digital and internet radio services often lack strategic content sequencing, resulting in disconnected audio experiences with audible and visual gaps, failing to provide personalized and engaging playback for listeners.
Innovation Solution
An audio blending system that uses a computing device with a processor and metadata files to calculate transitions between audio content items based on parameters like fade profiles, mood, genre, and energy levels, allowing for customizable and seamless playback experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If content is played based on simple genre or brand categories, then the system is easy to operate and content selection is straightforward, but the audio experience becomes disconnected with audible gaps and lacks continuity
Solution Approach 1:
The system transitions from simple categorical content selection to multi-parameter analysis including energy levels, mood, genre, and temporal characteristics. This enables sophisticated transition calculations that maintain audio continuity while preserving ease of operation through automated processing.
Solution Approach 2:
The patent replaces manual content sequencing with an automated computational system that analyzes audio parameters and calculates optimal transitions. This substitution eliminates audible gaps and discontinuities while maintaining operational simplicity through algorithmic processing.
2Device complexity
If traditional content playback is used with gaps or commercial interruptions, then the system structure is simple and easy to implement, but the listener experience becomes sterile and lacks engagement
Solution Approach 1:
The system eliminates gaps and interruptions in content playback by calculating seamless transitions between audio items. This continuous playback maintains listener engagement while the underlying system structure remains manageable through automated transition management.
Solution Approach 2:
The patent introduces dynamic transition calculations that adapt to the specific characteristics of adjacent content items. Energy levels, mood, and temporal parameters are dynamically adjusted to create engaging transitions without requiring complex system architecture.
3Reliability
If content transitions are made seamless with energy matching, then listener engagement and continuity are improved, but the system complexity increases due to multiple parameter calculations
Solution Approach 1:
The system segments the transition calculation into distinct parameter analyses: energy levels, mood characteristics, genre compatibility, and temporal factors. This segmentation manages complexity by breaking down the overall transition problem into manageable computational components.
Solution Approach 2:
The patent performs preliminary analysis of content parameters before executing transitions. By pre-calculating energy levels, mood, and other characteristics, the system reduces real-time computational complexity while maintaining high audio continuity and engagement.
4Adaptability or versatility
If personalized content sequencing is implemented based on listener preferences, then user interaction and customization are enhanced, but the system complexity and data processing requirements increase
Solution Approach 1:
The system incorporates listener preferences and feedback to automatically adjust content sequencing and transition parameters. This self-service approach enables personalization while managing complexity through automated adaptation rather than manual configuration.
Solution Approach 2:
The patent uses listener interaction data and preference information to refine content selection and transition calculations. This feedback mechanism enables personalized experiences while controlling system complexity through iterative optimization based on user responses.
Data Source
AI summary
Embodiments of the invention provide an audio blending system with a computing device that processes operations including receiving a transition request from a user including an out element and/or an in element of at least one transition between at least one content item of at least one recipe. The recipe includes a sequence of a plurality of elements of content of a break, where at least one content item includes audio content and/or video content. The operations include causing a track server to couple to a metadata file of the audio file using a wired or wireless link. The metadata file includes audio content parameters measured or calculated from the audio file. The operations include calculating a transition between the out element and the in element, selecting, assembling and scheduling the sequence of plurality of elements for the transition, and adding the out element to the at least one recipe.