Audio Encoder Model Selection Buffer Validation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing audio coding systems face challenges in selecting the optimal coding model after switching from one mode to another, leading to potential misclassification and inappropriate coding model selection due to invalid buffer contents, especially when transitioning from AMR-WB mode to AMR-WB+ extension mode.
Innovation Solution
A method that activates the selection rule for the first coder mode only after receiving enough sections of the audio signal to cover the analysis window, ensuring valid buffer contents are used for model selection, and provides an additional selection rule that does not rely on preceding signal information to prevent misclassification during the initial adaptation period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the selection rule is activated immediately after mode switching, then the coding model selection can start earlier, but the buffer contents may be invalid leading to misclassification
Solution Approach 1:
The patent applies preliminary action by checking whether the analysis window contains valid data before activating the selection rule. The system prepares by monitoring buffer validity status in advance, and only activates model selection when sufficient valid samples are available, preventing premature decisions based on invalid data.
Solution Approach 2:
The patent implements dynamics by making the activation of the selection rule conditional rather than static. The selection rule is dynamically activated or deactivated based on the validity status of buffer contents, allowing the system to adapt its behavior to the current data availability state.
2Measurement precision
If the analysis window covers a long preceding section, then more signal characteristics can be analyzed for better model selection, but the system complexity and processing load increase
Solution Approach 1:
The patent applies segmentation by dividing the audio signal processing into distinct coder modes (first coder mode with selection rules, second coder mode without). This segmentation allows complex analysis to be applied only where needed (first coder mode) while using simpler processing elsewhere (second coder mode), reducing overall system complexity.
3Reliability
If multiple coding models are available for the first coder mode, then better audio quality can be achieved through optimal model selection, but the device complexity increases
Solution Approach 1:
The patent applies local quality by applying different processing strategies to different parts of the signal. The first coder mode with multiple coding models and selection rules is applied locally only when appropriate, while the second coder mode provides a simpler alternative, ensuring high quality where needed without unnecessarily increasing complexity throughout the entire system.
Data Source
AI summary
A method for supporting an encoding of an audio signal is shown, wherein at least a first and a second coder mode are available for encoding a section of the audio signal. The first coder mode enables a coding based on two different coding models. A selection of a coding model is enabled by a selection rule which is based on signal characteristics which have been determined for a certain analysis window. In order to avoid a misclassification of a section after a switch to the first coder mode, it is proposed that the selection rule is activated only when sufficient sections for the analysis window have been received. The invention relates equally to a module in which this method is implemented, to a device and a system comprising such a module and to a software program product including a software code for realizing the proposed method.