Audio Frame Coding Selection via Linear Prediction Efficiency
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Solution Overview
Problem
Existing audio coding methods face high complexity and overheads due to the closed-loop mode of sub-coder selection, which is inefficient in selecting the most suitable sub-coder for coding multimedia signals in voice communications networks.
Innovation Solution
An audio coding method that estimates the reference linear prediction efficiency of a current audio frame and determines a matching audio coding scheme, reducing the need for complete coding operations and thereby lowering operational complexity and overheads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If closed-loop mode is used for sub-coder selection, then coding quality is improved, but operation complexity and overheads increase
Solution Approach 1:
The patent applies preliminary action by estimating reference linear prediction efficiency before actual coding operations. This estimation is performed in advance to predict which sub-coder will work best, allowing the system to pre-select the optimal sub-coder without needing to execute complete coding operations for evaluation. The estimation includes calculating linear prediction coefficients and evaluating efficiency metrics beforehand, which resolves the contradiction by preparing necessary information in advance to avoid complex real-time operations.
Solution Approach 2:
The patent uses cheap short-living objects by employing lightweight estimation metrics and simplified evaluation functions that require minimal computational resources. Instead of performing complete expensive coding operations to evaluate each sub-coder, the system uses inexpensive estimation techniques such as analyzing linear prediction residuals and energy values. These estimation operations are computationally cheap and can be performed rapidly, allowing efficient sub-coder selection without the overhead of full coding evaluations.
2Manufacturing precision
If closed-loop mode is used for sub-coder selection, then coding quality is improved, but overheads increase
Solution Approach 1:
The patent applies taking out by extracting only the essential and most informative features needed for sub-coder selection, rather than processing complete audio frames through all coding operations. The system extracts key parameters such as linear prediction efficiency metrics, energy values, and residual characteristics from the audio signal. By extracting only these critical features for evaluation, the system avoids the overhead of complete coding operations while retaining sufficient information to make accurate sub-coder selection decisions.
3Manufacturing precision
If multiple sub-coders are evaluated to select the best one, then coding quality is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by performing only the necessary portion of coding operations needed for evaluation. Instead of completely encoding each audio frame with multiple sub-coders to assess quality, the system performs partial encoding operations that focus specifically on calculating linear prediction efficiency metrics. This partial action approach evaluates only the critical aspects that determine sub-coder performance, significantly reducing processing time while maintaining accurate selection capability.
Solution Approach 2:
The patent uses parameter changes by dynamically adjusting evaluation parameters and thresholds based on audio signal characteristics. The system changes parameters such as linear prediction order, evaluation thresholds, and weighting factors according to the specific audio frame being processed. This adaptive parameter adjustment allows the system to efficiently evaluate multiple sub-coders by focusing computational resources on the most relevant parameters for each signal type, reducing overall processing time while maintaining coding quality.
Data Source
AI summary
An audio coding method and a related apparatus are disclosed. The audio coding method includes: estimating reference linear prediction efficiency of a current audio frame; determining an audio coding scheme that matches the reference linear prediction efficiency of the foregoing current audio frame; and performing audio coding on the foregoing current audio frame according to the audio coding scheme that matches the reference linear prediction efficiency of the foregoing current audio frame. The technical solutions provided in embodiments of the present disclosure help reduce overheads of audio coding.