Audio Packet Concealment via Channel Correlation Factors
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Solution Overview
Problem
Existing wireless audio playback systems face challenges in effectively concealing or recovering lost or corrupted packets of audio information, particularly in multi-channel setups where packet loss can disrupt the audio experience.
Innovation Solution
A method is introduced that utilizes correlation factors between channels to apply a concealment scheme, where packets lost in one channel can be recovered or concealed using audio information from other channels, leveraging reliable multicast wireless communication protocols and processor circuits to determine and apply these correlations for seamless playback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless communication protocols are used for audio transmission, then convenience and mobility are improved, but packet loss and corruption occur more frequently
Solution Approach 1:
The system performs preliminary actions by calculating correlation factors between channels in advance and storing them for later use. When packet loss occurs, these pre-calculated correlation factors enable rapid concealment without requiring real-time complex computations, thus maintaining both wireless convenience and audio reliability
Solution Approach 2:
Correlation factors serve as intermediaries between channels. Instead of directly transmitting redundant audio data between channels, the system uses correlation factors to mediate the concealment process, allowing efficient packet recovery while maintaining wireless transmission efficiency
2Reliability
If packet concealment schemes are applied using correlated channels, then audio integrity is improved, but processing complexity increases
Solution Approach 1:
The system changes parameters by calculating correlation factors that quantify the relationship between channels. These correlation factor parameters are then used to guide the concealment process, transforming a complex multi-dimensional audio recovery problem into a parameter-driven systematic approach that improves accuracy while managing complexity
Solution Approach 2:
The concealment process is segmented into distinct steps: detecting lost packets, identifying correlated channels using pre-calculated factors, and applying concealment only where needed. This segmentation reduces overall processing complexity by dividing the task into manageable, independent operations
3Measurement precision
If all channels are used for concealment with correlation weighting, then concealment accuracy is improved, but computational load increases
Solution Approach 1:
Correlation factors serve as weighting parameters that indicate the strength of relationship between channels. By using these parameters, the system can accurately select which channels to use for concealment without exhaustively processing all channels, thus improving accuracy while reducing computational energy consumption
Solution Approach 2:
Instead of applying concealment uniformly across all channels, the system uses correlation factors to identify and process only the most relevant correlated channels. This partial action approach achieves sufficient concealment accuracy while significantly reducing the computational load and energy consumption compared to processing all channels equally
Data Source
AI summary
In a reliable multi-cast, a concealment scheme may be applied to recover or conceal lost or otherwise corrupted packets of audio information for one channel based on the audio information of other channels in the reliable multi-cast. The concealment scheme may employ correction factors for channels derived from the channel relationships.