Metadata-Based Audio Volume Adjustment for Consistent Playback
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Solution Overview
Problem
Conventional audio media systems face challenges in maintaining consistent volume levels across different sources and media, leading to irritating fluctuations and potential hearing damage due to continuous dynamic range compression that alters the original audio dynamics.
Innovation Solution
The system employs metadata-based volume adjustment using audio watermarks and fingerprints to identify media and apply gain values, dynamically adjusting volume levels to maintain a consistent average volume while preventing rapid fluctuations, and utilizing a buffer to analyze and adjust volume during input delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If dynamic range compression is used to adjust volume levels, then volume consistency is improved, but audio dynamics are altered and quality deteriorates
Solution Approach 1:
The system performs preliminary identification of media using audio watermarks and fingerprints before playback, allowing the volume adjuster to pre-calculate appropriate gain values based on metadata. This preliminary action enables volume normalization to be applied as a simple gain adjustment rather than requiring continuous dynamic range compression during playback, thereby maintaining audio quality while achieving volume consistency.
2Stability of the object's composition
If continuous volume adjustment is applied, then volume consistency is improved, but perceptible fluctuations and irritation increase
Solution Approach 1:
Volume normalization is performed in advance based on metadata before playback begins. The system identifies the media, retrieves volume information from metadata, calculates the appropriate gain value, and applies it as a fixed adjustment. This eliminates the need for continuous monitoring and adjustment during playback, preventing perceptible fluctuations and listener irritation while maintaining volume consistency.
3Manufacturing precision
If metadata-based volume adjustment is used, then audio dynamics are preserved, but system complexity increases due to media identification requirements
Solution Approach 1:
The system introduces audio watermarks as an intermediary element embedded in the media that carries identification information. These watermarks enable automatic media identification without requiring complex user input or manual tracking. The watermark data works together with fingerprints and metadata to streamline the volume adjustment process, reducing overall system complexity despite the added identification capability.
4Speed
If rapid volume changes are permitted, then responsiveness is improved, but hearing damage risk increases
Solution Approach 1:
The system calculates and applies the appropriate gain value in advance based on metadata before playback starts. This preliminary volume normalization ensures that even if the media has inherently high volume levels, the pre-applied gain adjustment prevents excessive volume output from the outset. This approach maintains responsiveness by establishing safe volume levels immediately while eliminating the risk of hearing damage associated with rapid volume changes during playback.
Data Source
AI summary
Apparatus, systems, articles of manufacture, and methods for volume adjustment are disclosed herein. An example method includes collecting data corresponding to a volume of an audio signal as the audio signal is output through a device, when an average volume of the audio signal does not satisfy a volume threshold for a specified timespan, determining a difference between the average volume and a desired volume, and applying a gain to the audio signal to adjust the volume of the audio signal to the desired volume, the gain determined based on the difference between the average volume and the desired volume.