Background Noise Smoothing for Gradual Playback Volume Control
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Solution Overview
Problem
Electronic devices struggle to smoothly adjust playback volume in response to changing background noise levels, often resulting in sudden and uncomfortable volume changes due to reliance on instantaneous noise measurements rather than historical data.
Innovation Solution
The implementation of a system using microphones and processors to determine and smooth background noise levels by applying a weight factor, calculating a volume gain, and adjusting playback volume gradually based on both current and historical noise data, with the weight factor varying according to the speed of noise transitions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If the playback volume is adjusted quickly based on instantaneous background noise level, then the device responds rapidly to noise changes, but the user experiences sudden or drastic volume changes that are troubling and uncomfortable
Solution Approach 1:
The system performs preliminary smoothing of the background noise level estimate using historical data before applying volume adjustments. This preliminary action filters out transient noise spikes and prepares a more stable baseline for volume control, preventing reactive overcorrections that cause sudden volume changes
Solution Approach 2:
The system applies beforehand cushioning by using a smoothed noise estimate that incorporates historical data with weighted factors. This cushioning effect dampens the impact of transient noise variations, ensuring that volume adjustments are gradual and comfortable rather than abrupt and jarring to the user
2Adaptability or versatility
If the playback volume is adjusted based on instantaneous background noise level, then the device adapts to current noise conditions, but the adjustment may be unnecessary when the noise level is not sustained (e.g., sudden door slam)
Solution Approach 1:
The system implements feedback by continuously monitoring the smoothed background noise level and using this information to make informed volume adjustments. The feedback loop incorporates historical noise data with weighted factors, allowing the system to distinguish between transient spikes and sustained noise changes, thereby improving the reliability of its adaptability decisions
3Ease of operation
If the system uses historical noise data with weighted factors to smooth the background noise level, then the volume adjustments become smoother and more comfortable, but the system complexity increases
Solution Approach 1:
The system applies parameter changes by using weighted factors that can be adjusted to control the degree of smoothing. By modifying these parameters, the system can balance between responsiveness and smoothness without requiring complex algorithms, thereby achieving ease of operation with manageable system complexity
Data Source
AI summary
The present disclosure provides systems and methods for applying a volume gain to change the playback volume of a device by calculating a smoothed noise estimate. The smoothed noise estimate may calculated using an exponential smoothing method. The exponential smoothing method may include applying a weight factor to both a background noise estimate and a historical smoothed noise estimate. The weight factor may place more emphasis on either the background noise estimate or the historical smoothed noise estimate depending on the value of the weight factor. The value of the weight factor may change based on the type of environment the device is in, the speed of the background noise transitions, and/or historical data. The calculated smoothed noise estimate may be used to calculate a volume gain. The volume gain may be applied over a period of time such that the playback volume of the device changes smoothly.