Dynamic Audio Layer Selection via Perceptual Comparison
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Solution Overview
Problem
Current layered audio encoding systems in cellular communication systems face inflexibility and suboptimal resource usage, leading to reduced perceived audio quality when resource availability is restricted, as they tend to degrade quality continuously during peak loading conditions.
Innovation Solution
An apparatus and method that dynamically adapt the data rate of an encoded audio signal by comparing reference and sample audio data using a perceptual model, determining whether to include or exclude enhancement layers based on a similarity criterion, allowing for flexible resource allocation without relying on the original signal or additional information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If enhancement layers are continuously stripped during peak loading conditions, then resource allocation is improved, but perceived audio quality is reduced
Solution Approach 1:
The system dynamically adapts the data rate by selectively including or excluding enhancement layers based on a perceptual model comparison. The output means determines whether to include audio data from each layer by comparing reference audio data (with layer) against sample audio data (without layer) and evaluating whether the difference meets a criterion, allowing flexible adaptation to communication conditions while maintaining optimal perceived quality
Solution Approach 2:
The system changes the data rate parameter by selectively including or excluding enhancement layers based on perceptual quality assessment. The perceptual model compares reference and sample audio data to determine if removing a layer causes acceptable quality degradation, enabling parameter adaptation (data rate adjustment) while maintaining perceived quality within acceptable bounds
2Reliability
If all enhancement layers are transmitted, then audio quality is maintained, but data rate increases
Solution Approach 1:
The system extracts and removes enhancement layers from the encoded audio signal when the perceptual model determines that their removal does not cause unacceptable quality degradation. The output means generates an output signal that excludes audio data from specific layers based on the comparison result between reference and sample audio data, thereby reducing data rate while maintaining acceptable quality
Solution Approach 2:
The system adjusts the data rate parameter by selectively including or excluding enhancement layers based on perceptual quality assessment. The perceptual model enables parameter adaptation by determining whether removing a layer causes acceptable quality degradation, allowing data rate reduction while maintaining perceived quality within acceptable bounds
Data Source
AI summary
An apparatus receives an input encoded audio data signal comprising a base layer and at least one enhancement layer. A reference unit (103) generates reference audio data corresponding to audio data of a reference set of layers. A layer unit (105) divides the layers of the input signal into a first subset and a second subset. A sample unit (107) generates sample audio data corresponding to the audio data of the first subset. A comparison unit (109) generates a difference measure by comparing the sample audio data to the reference audio data based on a perceptual model. An output unit (111) then determines if the difference measure meets a similarity criterion and generates an output signal without audio data from a layer of the second subset if the similarity criterion is met and including the audio data of the layer otherwise. The invention may provide reduced data rates without an unacceptable degradation of quality.