Dynamic Audio Mixing for Gap-Free Customized Playback
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Solution Overview
Problem
Existing digital content experiences suffer from playback gaps and inartful characteristics, while terrestrial radio stations struggle with maintaining quality due to human error and outdated tools, leading to a competitive disadvantage against digital platforms.
Innovation Solution
A computer-implemented method that analyzes audio files to determine attributes and eligible portions for mixing, generating instructions for mixing audio data, and creating a stream of audio data that can be output or delivered over a network, enabling seamless and customized audio rendering experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital content is delivered using conventional playback systems, then content can be provided to users, but playback gaps and inartful characteristics occur that undermine the listening experience
Solution Approach 1:
The system dynamically adjusts audio playback by analyzing audio files in real-time to identify eligible portions for mixing and sequencing, creating seamless transitions between content segments based on acoustic features rather than fixed playback schedules
Solution Approach 2:
The system changes playback parameters by varying the timing and sequencing of audio segments based on analyzed attributes such as tempo, key, and energy levels, eliminating gaps through intelligent parameter adjustment rather than uniform playback intervals
2Productivity
If terrestrial radio stations use traditional broadcasting tools and techniques, then content can be delivered, but human error and repetitive manual tasks reduce quality and efficiency
Solution Approach 1:
The system performs self-service by automatically analyzing audio files, identifying mixing portions, and generating sequencing instructions without human intervention, eliminating manual tagging and reducing errors while maintaining consistent quality
Solution Approach 2:
The system replaces manual mechanical processes with automated computerized analysis and sequencing, substituting human operators with algorithms that consistently identify audio features and generate playback instructions without fatigue or error
3Ease of manufacture
If audio files are mixed without analyzing eligible portions, then mixing can be performed quickly, but inartful characteristics and playback gaps occur that degrade user experience
Solution Approach 1:
The system performs preliminary analysis of audio files before mixing by identifying eligible portions and generating sequencing instructions in advance, allowing for high-quality transitions without slowing down the overall mixing process
Solution Approach 2:
The system segments audio files into eligible and ineligible portions based on analyzed attributes, enabling precise mixing at transition points while maintaining overall processing efficiency through structured segmentation
Data Source
AI summary
Disclosed are systems, servers and methods for providing a novel framework that enables the unique cataloging and organization of audio files, upon which audio rendering experiences can be created and provided to requesting users, whether the users are individuals or third-party partners. The disclosed framework enables audio files to be stripped down, uniquely stored, and then stitched together in a novel manner that previously did not exist within the computing arts. The disclosed systems and methods, therefore, provide a novel platform where audio is not just provided to consumers, but audio experiences are compiled from various types of audio formats and types in a unique, dynamically determined manner for a listening user.