Audio Stream Segmentation for On-Demand Content Repurposing
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Solution Overview
Problem
Traditional broadcast radio struggles to repurpose and monetize its vast library of audio content, as it is primarily designed for real-time streaming, making it difficult to extract and reutilize segments for on-demand services like podcasts or social media, and lacks efficient tools for advertising insertion and audience measurement.
Innovation Solution
A web-based or downloadable software and hardware system that allows real-time marking and encoding of audio streams, enabling the creation of on-demand content by parsing and indexing live broadcasts, incorporating advertising, and distributing it through social media and other platforms, with features like automatic ad insertion and analytics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional broadcast radio streams are created for real-time broadcasting, then the content can be delivered to audiences in real-time, but the content cannot be easily extracted, stored, or repurposed for on-demand services
Solution Approach 1:
The system segments the continuous audio stream into discrete, markable portions using GPIO signals and tone markers. This segmentation enables individual clips to be extracted, stored, and repurposed for on-demand services while maintaining the overall stream structure for real-time broadcasting.
Solution Approach 2:
The patent introduces an intermediary system comprising automation software, GPIO devices, and tone generators that mediate between the live broadcast stream and the on-demand content library. This intermediary layer captures, marks, and archives stream portions without disrupting the real-time broadcast flow.
2Loss of information
If broadcast content is archived for later use, then content can be rebroadcast or repurposed, but the content remains un-searchable and un-cataloged
Solution Approach 1:
The system performs preliminary actions by embedding markers and metadata into the audio stream during the original broadcast. This preliminary cataloging enables fast search and retrieval of archived content without requiring complex post-broadcast processing.
Solution Approach 2:
The automation system provides feedback by monitoring the stream for GPIO signals and tone markers, automatically capturing and cataloging marked portions with metadata including time stamps, show information, and content descriptors. This automated feedback loop ensures consistent archiving without manual intervention.
3Extent of automation
If markers are embedded in the audio stream to identify segments, then segments can be automatically captured and stored, but the markers may be audible to listeners
Solution Approach 1:
The system applies local quality by using inaudible frequency tones for marking segments during normal broadcasting. These markers are localized to specific frequency ranges imperceptible to human listeners, while still being detectable by the automation system for automatic segment capture.
Solution Approach 2:
The patent utilizes parameter changes by employing GPIO signals and specific tone frequencies that fall below human auditory perception thresholds. These parameter choices allow the automation system to detect markers while keeping them inaudible to the broadcast audience.
4Productivity
If live broadcast segments are converted to on-demand content quickly, then advertising revenue and audience reach are maximized, but the processing time and resources increase
Solution Approach 1:
The system performs preliminary actions by capturing and pre-processing broadcast segments during the original transmission with automatic marker detection and metadata embedding. This preliminary processing enables rapid deployment of on-demand content without extensive post-broadcast editing or processing.
Data Source
AI summary
The present invention provides to a web-based software and hardware system that act together with a user device to capture an audio feed, to easily encode and add meta data to the audio content using input from studio systems, parse the content based on its type, and to provide the means to incorporate a feed segment produced from the encoded audio feed into a secondary production which is used to provide an indexed archive of audio and on-demand broadcast content, for example, by the creation and publication of pod-casts or on-demand broadcast, which includes ad positions inserted and dynamically served.