Auditory Event Detection for Artifact-Reduced Audio Gain Control
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Solution Overview
Problem
Existing audio dynamic range control methods struggle to effectively manage dynamic gain changes without introducing audible artifacts, particularly in complex audio scenarios where multiple auditory events occur simultaneously.
Innovation Solution
The method employs auditory scene analysis to identify and characterize auditory events, using these insights to control key audio dynamics processing parameters such as attack, release, and gain, thereby reducing audible artifacts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If dynamic range control is applied to manage audio signal levels, then the audio signal maintains consistent perceived loudness, but audible artifacts are introduced
Solution Approach 1:
The audio signal is segmented into multiple frequency bands using a filter bank, allowing independent dynamic range control for each band. This segmentation enables the system to apply gain changes more selectively, reducing the introduction of audible artifacts while maintaining perceived loudness consistency across the full audio spectrum.
Solution Approach 2:
The system dynamically adjusts the attack and release time constants based on the detected auditory event type. For transient events, shorter attack times are used to preserve transient integrity, while for sustained events, longer release times maintain smooth level transitions. This dynamic parameter adjustment reduces audible artifacts while maintaining loudness consistency.
2Adaptability or versatility
If dynamic gain changes are applied to control audio levels, then the audio signal adapts to varying dynamics, but audible artifacts are introduced
Solution Approach 1:
The system dynamically adapts processing parameters including attack time, release time, and gain adjustments based on the detected auditory event characteristics. Transient events trigger faster attack responses while sustained events use smoother release characteristics, enabling versatile dynamic adaptation without introducing audible artifacts through inappropriate parameter settings.
Solution Approach 2:
Different processing characteristics are applied to different frequency bands and event types. The system identifies specific auditory events and applies localized gain adjustments and parameter settings tailored to each event's characteristics, allowing adaptive processing while maintaining natural sound quality and avoiding generic artifact introduction.
3Object-affected harmful factors
If auditory event detection is implemented to control processing parameters, then audible artifacts are reduced, but computational complexity increases
Solution Approach 1:
The auditory event detection process is segmented into distinct analytical stages: spectral analysis, temporal analysis, and event classification. Each stage processes specific features independently, reducing the overall computational burden while maintaining accurate event detection for artifact reduction.
Solution Approach 2:
The auditory event detection system serves multiple functions simultaneously: it identifies event boundaries, classifies event types, and directly controls processing parameters. This multi-functionality consolidates what would otherwise require separate processing chains, reducing computational complexity while maintaining the artifact reduction benefits.
Data Source
AI summary
In some embodiments, a method for processing an audio signal in an audio processing apparatus is disclosed. The method includes receiving an audio signal and a parameter, the parameter indicating a location of an auditory event boundary. An audio portion between consecutive auditory event boundaries constitutes an auditory event. The method further includes applying a modification to the audio signal based in part on an occurrence of the auditory event. The parameter may be generated by monitoring a characteristic of the audio signal and identifying a change in the characteristic.


