Media Segment Volume Adjustment Using Audio Component Parsing
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Solution Overview
Problem
Existing media playback systems fail to adjust the volume of individual audio components beyond dialogue and background noise, lacking the ability to differentiate and optimize volume settings based on the type of media segment being played.
Innovation Solution
A media guidance application determines the type of media segment being played, parses audio components, and adjusts their volumes using metadata, crowd-sourced data, and neural networks to match predefined or user-specific volume parameters, considering multiple users in a shared environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If uniform volume adjustment is applied to all audio components, then the simplicity of the system is maintained, but the audio clarity and viewer experience deteriorate
Solution Approach 1:
The audio signal is segmented into multiple distinct audio components (dialogue, background noise, sound effects, music) rather than treating it as a single uniform signal. This segmentation enables independent volume adjustment for each component, allowing the system to maintain simplicity in implementation while achieving precise audio clarity through component-specific optimization
Solution Approach 2:
Different volume adjustment parameters are applied to different audio components based on their specific characteristics and the current media segment type. For example, dialogue components receive different volume treatment compared to sound effects or music. This local quality approach optimizes audio clarity for each component while maintaining overall system manageability through automated parameter selection
2Measurement precision
If individual audio component volume adjustment is implemented, then audio clarity is improved, but the device complexity increases
Solution Approach 1:
The system automatically identifies audio components and selects appropriate volume parameters without requiring manual user intervention. The media guidance application self-determines the media segment type, identifies relevant audio components, and applies appropriate volume adjustments autonomously. This self-service mechanism improves audio clarity while minimizing the increase in device complexity by eliminating the need for complex user interfaces or manual configuration
Solution Approach 2:
The system changes volume parameters dynamically based on the identified media segment type and audio component characteristics. Predefined volume parameters are selected and applied automatically, allowing the system to adapt to different media content without requiring complex real-time processing or user input. This parameter-based approach achieves precise audio control while keeping the system relatively simple through automation
3Adaptability or versatility
If volume parameters are customized for different media segments, then viewer experience is enhanced, but the difficulty of detecting and measuring media segment types increases
Solution Approach 1:
Volume parameters for different media segment types are pre-defined and stored in advance. When a media segment is detected, the system retrieves the appropriate pre-defined parameters rather than calculating them in real-time. This preliminary action approach enhances viewer experience through customized volume settings while simplifying the detection process by using predefined classification categories and retrieval operations
Data Source
AI summary
Systems and methods are provided herein for identifying a segment of a media asset and adjusting volume of the segment. A media guidance application may transmit a media asset at a first time for consumption by a plurality of user devices, identify a social media post that was posted at a first timepoint during the transmitting, and identifying, based on the first timepoint when the social media post was posted, a segment of the media asset. The social media post may reference volume of the media asset. Based at least in part on identifying the segment of the media asset, the media guidance application may generate for display, at a user device, the media asset at a second time after the transmitting and cause the user device to adjust volume of the identified segment of the media asset.