Audio Blending Transitions for Continuous Personalized Playback
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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 playback that aligns with listener preferences or brand differentiation.
Innovation Solution
An audio blending system that uses a computing device with a processor and metadata analysis 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 by selecting, assembling, and scheduling content elements.
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, but the content experience becomes undifferentiated and lacks personalization
Solution Approach 1:
The system transforms content selection from simple categorical filtering to multi-parameter optimization by analyzing audio features (energy, tempo, mood, genre) and dynamically adjusting content parameters based on listener context, time of day, and playback history to create personalized experiences
2Device complexity
If gaps or abrupt transitions are introduced between content items, then the system is simpler to implement, but the listening experience suffers from loss of energy and lack of continuity
Solution Approach 1:
The system maintains continuous audio flow by implementing crossfades, volume normalization, and energy-matching transitions between content items, ensuring seamless playback that preserves listening energy and eliminates audible gaps or abrupt discontinuities
Solution Approach 2:
The system pre-calculates transition parameters including fade durations, volume adjustments, and energy matching factors before content transitions occur, preparing smooth transitions in advance to maintain continuous audio flow without real-time processing delays
3Device complexity
If uniform volume levels are used across all content items, then the system is easier to implement, but the energy disparity between content items creates jarring transitions
Solution Approach 1:
The system dynamically adjusts volume parameters based on content energy levels, applying fade-in/fade-out curves and normalization factors that match the energy characteristics of adjacent content items to create smooth, non-jarring transitions
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.