Adaptive Audio Loudness Control Under Changing Noise
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Solution Overview
Problem
Existing audio signal loudness control methods fail to adaptively adjust to changing noise levels and user preferences, resulting in unsatisfactory audio loudness experiences.
Innovation Solution
A method and system that dynamically control audio signal loudness by deriving a target partial loudness adjustment based on factors related to the noise signal, audio signal, and user preferences, using a combination of classifiers and adjustment engines to modify the audio signal accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If constant partial loudness is maintained in presence of noise signal, then audio loudness stability is improved, but user satisfaction deteriorates
Solution Approach 1:
The patent implements dynamic target partial loudness adjustment by deriving different target values based on noise signal characteristics and user preferences. Instead of maintaining a fixed constant loudness, the system continuously adapts the target partial loudness according to changing noise levels and user settings, thereby achieving both stability through controlled adjustment and adaptability through dynamic parameter changes.
Solution Approach 2:
The system changes the target partial loudness parameter dynamically based on noise signal analysis and user preference inputs. By deriving target partial loudness values that adapt to different noise conditions and user expectations, the system resolves the contradiction between maintaining stable audio output and adapting to varying environmental and user requirements.
2Illumination intensity
If noise signal level increases, then background noise intensity is improved, but perceived audio loudness deteriorates
Solution Approach 1:
The system employs feedback mechanisms by continuously monitoring noise signal levels and using this information to adjust the target partial loudness accordingly. The noise signal characteristics are analyzed and fed back into the loudness control algorithm, which then derives appropriate target partial loudness values to compensate for the masking effect of background noise, thereby maintaining perceived audio loudness despite increasing noise intensity.
Solution Approach 2:
The system takes preliminary anti-action by pre-deriving target partial loudness adjustments based on detected noise signal characteristics before the noise fully masks the audio signal. By anticipating the masking effect and adjusting the target loudness in advance based on noise level analysis, the system counteracts the deterioration of perceived audio loudness that would otherwise occur with increasing background noise intensity.
Data Source
AI summary
Example embodiments disclosed herein relate to audio signal loudness control. A method for controlling loudness of an audio signal is disclosed. The method includes responsive to determining presence of a noise signal, deriving a target partial loudness adjustment based, at least in part, on at least one of a first factor related to the noise signal and a second factor related to the audio signal. The method further includes determining a target partial loudness of the audio signal based, at least in part, on the target partial loudness adjustment. Corresponding system, apparatus and computer program product are also disclosed.