Auditory Event Boundary Detection for Low-Artifact Audio Gain Control
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Solution Overview
Problem
Current audio dynamic range control methods are limited in effectively managing auditory events, leading to audible artifacts and inefficiencies in processing complex audio signals, as they often rely on computationally demanding techniques that are not practical for real-time applications.
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 techniques such as spectral analysis and transformation into a perceptual loudness domain to control audio dynamics processing parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If auditory scene analysis is performed using traditional spectral analysis methods, then auditory events can be identified, but computational complexity becomes excessively high and real-time processing becomes impractical
Solution Approach 1:
The audio signal is divided into multiple frequency subbands using a filter bank, where each subband is processed independently to detect auditory events. This segmentation reduces the computational burden of analyzing the entire spectrum at once while maintaining detection accuracy through localized spectral analysis in each subband
Solution Approach 2:
Traditional full-spectrum spectral analysis is replaced with a more efficient approach using filter banks and subband processing. This substitution uses simpler, more computationally efficient operations (filtering and local spectral analysis) to achieve the same auditory event detection function without requiring complex full-spectrum transformations
2Object-affected harmful factors
If dynamic gain modifications are applied based on auditory events, then audible artifacts are reduced, but processing time and computational resources increase
Solution Approach 1:
Auditory events are detected and identified in advance through spectral analysis before dynamic gain modifications are applied. By preliminarily identifying event boundaries and characteristics, the system can apply gain changes at the appropriate moments without requiring complex real-time adjustments, thus reducing audible artifacts while maintaining efficient processing
Solution Approach 2:
The system uses the detected auditory event information to automatically control the dynamic gain processing. The auditory event detection results directly drive the gain modification parameters, creating a self-regulating system that reduces artifacts through intelligent, event-driven processing rather than continuous complex analysis
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.