Multi-Channel Audio Signal Coding Using Adaptive Pairing
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Solution Overview
Problem
Current multi-channel audio encoding and decoding methods lack efficiency in reducing redundancy and optimizing coding efficiency, particularly in pairing channel signals based on correlation values.
Innovation Solution
A method and apparatus for multi-channel audio signal coding that pairs channel signals based on correlation values to determine the most efficient pairing manner, using a combination of two pairing methods to maximize correlation sums and adapt energy equalization modes based on fluctuation intervals, thereby improving coding efficiency and diversity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If channel signals are paired based on correlation values to reduce redundancy, then coding efficiency is improved, but the complexity of determining pairing manners increases
Solution Approach 1:
The patent applies dynamics by making the pairing manner adaptable and changeable based on signal characteristics. The system dynamically selects between first pairing manner (prioritizing largest correlation values) and second pairing manner (prioritizing energy balance) according to the fluctuation interval value and energy distribution of channel signals, rather than using a fixed pairing strategy.
Solution Approach 2:
The patent changes parameters by introducing the fluctuation interval value as a decision parameter for selecting pairing manners. The system calculates energy values of channel signals, determines fluctuation intervals, and uses these parameter changes to adaptively choose the optimal pairing strategy, transforming a static pairing process into a parameter-driven adaptive process.
2Ease of operation
If a single pairing manner is used for all channel signals, then the processing is simple, but the adaptability to different signal characteristics is reduced
Solution Approach 1:
The patent implements dynamics by enabling the system to switch between different pairing manners based on real-time signal characteristics. The first pairing manner is used when channel signals have similar energy levels, while the second pairing manner is applied when there are significant energy differences, making the processing adaptive rather than static.
Solution Approach 2:
The patent applies local quality by tailoring the pairing strategy to local signal characteristics. Different pairing manners are applied to different channel signal groups based on their specific energy distributions and correlation patterns, rather than applying a uniform pairing approach to all channels regardless of their individual characteristics.
3Measurement precision
If correlation values are calculated for all channel signal pairs to find optimal pairing, then pairing accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and sorting channel signals based on their energy values before performing correlation calculations. By arranging signals in order of energy magnitude and using the fluctuation interval as a preliminary criterion, the system reduces the search space for optimal pairing, thereby lowering computational complexity while maintaining pairing accuracy.
Solution Approach 2:
The patent uses segmentation by dividing the channel signals into different groups based on energy levels and fluctuation intervals. This segmentation allows the system to apply different pairing strategies to different segments of signals, reducing the overall computational burden compared to calculating all possible pairs without segmentation.
Data Source
AI summary
A multi-channel audio signal coding method includes obtaining a to-be-encoded first audio frame, pairing at least five channel signals according to a first pairing manner to obtain a first channel pair set, obtaining a first sum of correlation values of the first channel pair set, where one channel pair has one correlation value, pairing the at least five channel signals according to a second pairing manner to obtain a second channel pair set, obtaining a second sum of correlation values of the second channel pair set, determining a target pairing manner of the at least five channel signals based on the first sum of correlation values and the second sum of correlation values, and encoding the at least five channel signals based on a channel pair set corresponding to the target pairing manner, where the target pairing manner is the first pairing manner or the second pairing manner.