Auditory Event Detection for Artifact-Reduced Dynamic Gain Control
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Solution Overview
Problem
Current audio dynamic range control methods are inefficient in reducing audible artifacts and effectively managing dynamic gain changes, particularly in complex audio signals, due to high computational demands and limitations in auditory scene analysis.
Innovation Solution
The method involves performing auditory scene analysis by identifying auditory events through spectral content changes and applying dynamic gain modifications based on these events, using both spectral analysis and psychoacoustic loudness models to control key audio dynamics processing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If auditory scene analysis is performed to identify auditory events for dynamic gain control, then audible artifacts are reduced and dynamic gain management accuracy is improved, but computational demands increase significantly
Solution Approach 1:
The audio signal is segmented into distinct auditory events based on spectral content changes. The system divides continuous audio into discrete events characterized by onset, offset, and spectral features, enabling targeted processing of specific audio segments rather than uniform processing of the entire signal, thus reducing overall computational energy consumption while maintaining precision where needed.
Solution Approach 2:
Different processing strategies are applied to different auditory events based on their local characteristics. The system analyzes spectral content changes and applies dynamic gain control parameters specifically tailored to each event type (e.g., speech vs. music vs. transient sounds), optimizing computational resources by focusing detailed analysis only where perceptually relevant rather than applying uniform high-computation processing throughout.
2Object-affected harmful factors
If traditional dynamic range control methods are used, then computational demands are lower, but audible artifacts increase and dynamic gain management becomes less effective in complex audio signals
Solution Approach 1:
The system dynamically adjusts processing parameters based on real-time auditory event detection. Rather than using fixed compression ratios or threshold levels, the system modifies gain control parameters adaptively according to the detected event type, spectral content, and temporal characteristics, reducing audible artifacts by matching processing intensity to the actual audio content dynamics.
Solution Approach 2:
The system introduces an intermediary auditory event detection layer between the raw audio signal and the dynamic range control processor. This intermediary analyzes spectral content changes and generates event-based control signals that guide the subsequent processing, allowing the system to achieve artifact reduction without requiring the downstream processor to handle the full complexity of raw audio analysis directly.
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.