Set-Top Box Audio Control Using Event-Driven Genre Detection
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Solution Overview
Problem
Existing set-top boxes require manual user intervention for sound rendering adjustments, which is restrictive and unreliable, leading to increased resource consumption and power usage.
Innovation Solution
A set-top box with a processing unit that includes a setting module for real-time analysis of input streams to determine genres, a configuration module for dynamic audio adjustments, and a control module to optimize resource use based on predefined events, reducing power consumption and resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time analysis is performed on the broadcast stream to automatically adapt sound rendering, then the reliability and adaptability of audio optimization is improved, but the resource consumption and power usage of the set-top box increases
Solution Approach 1:
The control module implements periodic action by detecting events in the broadcast stream (such as scene transitions or audio genre changes) and triggering analysis operations only at these specific moments rather than continuously. This event-driven approach maintains optimization reliability while significantly reducing overall resource consumption and power usage during idle periods
Solution Approach 2:
The setting module performs self-service by automatically analyzing the broadcast stream and adapting audio parameters without requiring manual user intervention. The system autonomously detects audio genres, adjusts equalization settings, and optimizes sound rendering based on content characteristics, eliminating the need for user configuration while maintaining high reliability
2Adaptability or versatility
If real-time analysis is performed on the broadcast stream to automatically adapt sound rendering, then the adaptability of audio optimization is improved, but the resource consumption of the set-top box increases
Solution Approach 1:
The control module applies partial action by selectively analyzing only specific characteristics of the broadcast stream that are most relevant to audio optimization, such as audio genre and scene type, rather than performing comprehensive analysis of all stream parameters. This targeted approach maintains high adaptability for audio rendering while conserving processing resources
Solution Approach 2:
Analysis operations are triggered periodically based on detected events in the broadcast stream, such as transitions between different audio genres or scene changes. This event-driven periodic analysis ensures the system remains adaptable to content changes while avoiding continuous resource consumption during stable periods
Data Source
AI summary
A set-top box includes a setting module arranged to define a genre of the input stream, which is associated with audio parameters, a configuration module arranged to dynamically adapt, by using the audio parameters, an adjustment of an audio playback device, so as to optimise a sound rendering of said audio playback device according to the genre of the input stream, and a control module, arranged to detect an occurrence of a current event from among a set of predefined events relating to the broadcasting of the input stream, and to control the setting module according to said current event, so as to optimise a use of resources of the setting module and therefore of the set-top box.


