Auditory Event Detection in Audio Dynamic Range 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 fail to accurately detect and respond to changes in spectral content and perceived loudness.
Innovation Solution
The method involves performing auditory scene analysis by identifying auditory events through spectral analysis and transforming audio into a perceptual loudness domain, allowing for dynamic gain modification based on these events, which reduces audible artifacts and improves processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If traditional audio dynamic range control methods are used, then processing is simpler, but audible artifacts increase and processing efficiency decreases
Solution Approach 1:
The audio signal is divided into multiple frequency subbands using a filter bank, allowing independent processing of different spectral regions. This segmentation enables targeted dynamic range control in specific frequency ranges where auditory events occur, reducing overall artifacts while maintaining processing efficiency.
Solution Approach 2:
The patent transforms the audio signal from the time domain to the frequency domain using FFT analysis, enabling spectral analysis and auditory event detection in the frequency dimension. This dimensional transformation allows for more precise control of dynamic range based on spectral content rather than just temporal amplitude.
2Measurement precision
If spectral analysis and auditory event detection are implemented, then dynamic gain control accuracy improves, but computational demand increases
Solution Approach 1:
Instead of analyzing the entire frequency spectrum uniformly, the patent applies auditory event detection and dynamic gain control only to specific subbands where relevant auditory events are detected. This partial action approach maintains high accuracy where needed while reducing unnecessary computational energy in other frequency regions.
Solution Approach 2:
The patent introduces an intermediary auditory event detection mechanism that acts as a gate between spectral analysis and dynamic gain control. This intermediary detects significant spectral changes and triggers processing only when necessary, reducing overall computational energy while maintaining measurement precision for actual auditory events.
3Productivity
If auditory events are detected through spectral analysis, then processing efficiency improves, but complexity of detecting and measuring increases
Solution Approach 1:
The spectrum is divided into multiple subbands using a filter bank, making it easier to detect auditory events in each frequency region independently. This segmentation reduces the complexity of measuring spectral changes by breaking down the overall spectral analysis into manageable frequency-specific measurements.
Solution Approach 2:
The patent replaces complex temporal analysis with frequency-domain spectral analysis using FFT. This substitution allows auditory events to be detected through changes in spectral magnitude across subbands, which is more efficient and less complex than analyzing temporal waveforms 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.