Playback Profile Matching for Audio Optimization
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Solution Overview
Problem
Existing devices that play music and audio content often fail to provide optimal playback experiences, as they do not differentiate between various types of content, leading to suboptimal adjustments and potential safety issues when adjusting settings while driving.
Innovation Solution
The system modifies playback settings based on pre-processed profile information associated with the content, which is automatically delivered to the playback device, allowing for optimized playback experiences without user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the same playback experience is provided for all content types, then device operation is simple, but playback quality is suboptimal for specific content
Solution Approach 1:
The system pre-processes content to generate playback profiles before the content is played. These profiles contain pre-determined playback settings optimized for each content type, allowing the device to automatically apply appropriate settings without requiring user analysis or manual adjustment during playback.
Solution Approach 2:
The playback device automatically selects and applies optimized playback settings by itself based on the content being played. The system analyzes content characteristics, retrieves corresponding playback profiles, and adjusts playback parameters autonomously without user intervention, making the device self-optimizing.
2Manufacturing precision
If manual playback adjustments are provided, then playback quality can be optimized, but user safety is compromised when driving
Solution Approach 1:
The playback device performs automatic content analysis and self-adjustment of playback settings without requiring user interaction. The system autonomously identifies content type, retrieves optimized playback profiles, and applies appropriate settings, eliminating the need for drivers to manually adjust controls while operating vehicles.
Solution Approach 2:
Playback profiles with optimized settings are pre-computed and stored before playback occurs. When content is played, the system automatically matches the content to the appropriate pre-prepared profile and applies the settings instantly, providing optimized playback without requiring real-time user decision-making or manual adjustment.
3Manufacturing precision
If playback settings are adjusted after content starts, then playback quality can be optimized, but time is lost and adjustments may be ineffective
Solution Approach 1:
The system generates and prepares optimized playback profiles in advance during content pre-processing. When playback begins, the appropriate profile is already ready to be applied immediately, ensuring optimal settings are in effect from the start of playback without requiring delayed adjustments that would miss the optimal timing window.
Data Source
AI summary
Example methods and systems for modifying the playback of content using pre-processed profile information are described. Example instructions, when executed, cause at least one processor to access a media stream that includes media and a profile of equalization parameters, the media stream provided to a device via a network, the profile of equalization parameters included in the media stream selected based on a comparison of a reference fingerprint to a query fingerprint generated based on the media, the profile of equalization parameters including an equalization parameter for the media; and modify playback of the media based on the equalization parameter specified in the accessed profile.