Soft-Decision Audio Decoding for Low-Latency Error Inference
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Solution Overview
Problem
Conventional wireless audio systems face challenges in maintaining audio continuity due to interference-induced errors, which result in increased latency and poor granularity in error detection, leading to undesirable audio dropouts or muting, especially in harsh RF environments.
Innovation Solution
A soft decision audio decoding system that generates hard and soft bits to determine the likelihood of errors in a digital signal, allowing for low-latency and high-granularity error inference, thereby maintaining audio continuity by decoding or muting the signal based on confidence levels in the received data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional error detection techniques (parity checking) are used to detect bit errors in digital signals, then error detection capability is provided, but latency increases and granularity is poor
Solution Approach 1:
The patent segments the error detection process by separating hard decision decoding (for latency-critical paths) from soft decision decoding (for accuracy-critical paths). Hard bits are processed immediately for low-latency applications, while soft bits provide enhanced error detection capability when available, resolving the contradiction between immediate error detection and reduced latency
Solution Approach 2:
The system performs preliminary hard decision decoding to provide immediate error detection capability, then optionally performs soft decision decoding for enhanced accuracy. This preliminary action ensures that basic error detection occurs without the full latency overhead of soft decision techniques, while still providing the option for improved granularity when time permits
2Reliability
If conventional error detection techniques are used, then error detection is achieved, but granularity is poor and large amounts of data must be discarded
Solution Approach 1:
The patent applies local quality by providing different levels of error detection precision for different data segments or error conditions. Soft decision techniques provide fine-grained error identification for critical data portions, while hard decision techniques handle less critical data, allowing selective data retention based on local error characteristics rather than blanket data discarding
Solution Approach 2:
The system changes the parameter of error detection precision by switching between hard decision (coarse granularity) and soft decision (fine granularity) modes. This parameter change allows the system to achieve high-granularity error detection when needed, identifying specific erroneous bits without discarding large amounts of valid data, thereby reducing information loss
3Measurement precision
If data size is decreased to reduce latency and improve granularity, then latency and granularity improve, but more frequent parity calculations are needed increasing bandwidth cost
Solution Approach 1:
The patent creates a copy of the error detection approach by implementing both hard decision decoding (a simplified copy of full soft decision) and soft decision decoding. This copying allows the system to use the lower-bandwidth hard decision method for routine operations while reserving soft decision for cases requiring enhanced granularity, avoiding the need to always use high-bandwidth techniques
4Reliability
If parity checking is used for error detection, then error detection is provided, but audio continuity is disrupted causing dropouts or muting
Solution Approach 1:
The patent converts the harmful effect of detected errors (which would cause audio dropouts or muting) into a benefit by using soft decision techniques to identify and correct errors rather than simply detecting them. This conversion allows the system to maintain audio continuity by correcting errors in place, turning what would be harmful disruptions into opportunities for error recovery and continuous audio playback
Data Source
AI summary
A soft decision audio decoding system for preserving audio continuity in a digital wireless audio receiver is provided that deduces the likelihood of errors in a received digital signal, based on generated hard bits and soft bits. The soft bits may be utilized by a soft audio decoder to determine whether the digital signal should be decoded or muted. The soft bits may be generated based on the detected point and a detected noise power, or by using a soft-output Viterbi algorithm. The value of the soft bits may indicate confidence in the strength of the hard bit generation. The soft decision audio decoding system may infer errors and decode perceptually acceptable audio without requiring error detection, as in conventional systems, as well as have low latency and improved granularity.