Audio Blending Sequencing for Seamless Content Transitions
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Solution Overview
Problem
Current digital and internet radio services lack strategic content sequencing, often resulting in disjointed audio experiences with audible and visual gaps, lack of continuity, and undifferentiated consumer experiences.
Innovation Solution
An audio blending system that uses a computing device to receive transition requests, calculate transitions between audio elements, and schedule sequences of content items, incorporating metadata and user preferences to create seamless and customized playback experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If content is played sequentially without strategic sequencing, then the system is simple and easy to operate, but the audio experience becomes disjointed with gaps and lacks continuity
Solution Approach 1:
The system performs preliminary analysis of audio content characteristics (genre, mood, energy level, tempo) and pre-calculates compatible transitions before playback. This allows seamless content sequencing without real-time complexity, as the sequencing decisions are prepared in advance based on content metadata and transition rules.
Solution Approach 2:
The patent introduces an intermediary content element (transition content) that bridges between two disparate audio items. This intermediary serves as a mediator that smooths the transition, maintaining audio continuity and reducing perceptible gaps without requiring direct juxtaposition of incompatible content.
2Adaptability or versatility
If generic content transitions are used, then the system is simple to operate, but the consumer experience becomes undifferentiated and sterile
Solution Approach 1:
The system automatically analyzes content characteristics and selects appropriate transitions without user intervention. It self-adjusts the playback experience by matching content based on genre, mood, and energy parameters, providing personalized sequencing while maintaining ease of operation through automation.
Solution Approach 2:
The system dynamically adjusts playback parameters (transition duration, fade levels, content selection) based on analyzed content characteristics. By changing these parameters adaptively, the system creates differentiated experiences for different content types while maintaining simple operation through automated parameter optimization.
3Productivity
If content elements are introduced frequently, then the broadcast is more engaging and differentiated, but the energy flow becomes disrupted and transitions become jarring
Solution Approach 1:
The system dynamically adjusts the frequency and timing of content transitions based on the energy levels and characteristics of adjacent content. It optimizes transition points to maintain energy flow, introducing content elements at moments that maximize engagement while minimizing disruptive energy losses in the audio stream.
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.