Server-Side Audio Loudness Matching for Supplemental Content
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Solution Overview
Problem
Content-presentation devices face challenges in seamlessly replacing advertisement segments with targeted content due to volume mismatch between media devices and content-presentation devices, leading to poor user experience.
Innovation Solution
A method where content-presentation devices determine the media-device loudness and request supplemental content with matching loudness from a computing system, enabling content-modification operations that adjust the volume of the replacement advertisement segments to match the media-device output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If advertisement segments are replaced with targeted supplemental content, then advertising effectiveness is improved, but volume mismatch between media device output and content-presentation device output degrades user experience
Solution Approach 1:
The system performs preliminary actions by determining the loudness of content from the media device before selecting supplemental content. The content-presentation device requests and receives supplemental content with matching loudness characteristics in advance, ensuring volume compatibility is established before the actual content replacement occurs, thus preventing user experience degradation.
Solution Approach 2:
The system changes the loudness parameter of supplemental content to match the media device output. By selecting supplemental content with loudness values that correspond to the determined media-device loudness, the system ensures that the replaced content maintains consistent audio characteristics, resolving the volume mismatch issue while preserving advertising effectiveness.
2Productivity
If supplemental content is selected without considering media-device loudness, then content replacement speed is improved, but volume mismatch creates poor user experience
Solution Approach 1:
The system performs preliminary determination of media-device loudness and selects supplemental content with matching characteristics before the content replacement operation. This advance preparation ensures that when replacement occurs, both the content and its audio characteristics are ready, maintaining high replacement speed while ensuring user experience quality.
Solution Approach 2:
The system uses feedback from the determined media-device loudness to guide supplemental content selection. The content-presentation device receives feedback about the loudness characteristics and uses this information to request appropriately matched supplemental content, creating a closed-loop system that maintains both speed and quality.
Data Source
AI summary
In one aspect, an example method includes (i) determining, by a content-presentation device, a media-device loudness of content that is provided to the content-presentation device by a media device; (ii) sending, by the content-presentation device to a computing system, a request for supplemental content for use in connection with performing a content-modification operation during a content-modification opportunity, with the request including an indication of the media-device loudness; (iii) based on sending the request, receiving, by the content-presentation device from the computing system, a version of a supplemental content segment having a loudness corresponding to the media-device loudness, with the version of the supplemental content segment selected from among multiple versions of the supplemental content segment having different respective loudnesses; (iv) and performing, by the content-presentation device, the content-modification operation using the version of the supplemental content segment.