Stereo Audio Encoder Using Golomb-Rice Mapping
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Solution Overview
Problem
Existing stereo audio signal encoders face challenges in efficiently encoding multichannel audio signals at low bit rates while maintaining high quality, particularly in adapting to varying distributions of quantized differences between audio channels.
Innovation Solution
The method involves determining parameters that define differences between audio signal channels, analyzing these parameters to determine trends, and using Golomb-Rice encoding based on order positions of mapped instances to generate and encode multichannel audio signals, incorporating scalar quantization and frequency distribution analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If traditional stereo audio encoders use fixed bit allocation for channel difference parameters, then encoding simplicity is maintained, but coding efficiency and quality at low bit rates deteriorate
Solution Approach 1:
The encoder dynamically adapts the mapping of quantized channel difference parameters based on their statistical distribution characteristics. The mapping order is adjusted according to the observed frequency distribution of parameter values, transforming the static encoding process into a dynamic one that responds to signal characteristics, thereby improving coding efficiency without significantly increasing complexity
Solution Approach 2:
The invention changes the encoding parameters by applying different mapping strategies based on the statistical properties of the channel difference parameters. When parameters exhibit certain distribution patterns (e.g., concentrated around zero or uniform distribution), the encoder applies optimized mapping transformations that adapt the parameter representation to match the observed statistics, improving compression efficiency
2Device complexity
If conventional encoders use standard quantization methods for channel differences, then implementation complexity is reduced, but tracking delays in coding increase
Solution Approach 1:
The encoder performs preliminary analysis of the statistical distribution of channel difference parameters before applying the final encoding. By pre-processing the parameters to identify their distribution characteristics and pre-computing optimized mapping tables based on these characteristics, the system reduces tracking delays in subsequent encoding operations without significantly increasing overall implementation complexity
3Manufacturing precision
If stereo encoders allocate more bits to mono channel representation, then audio quality is improved, but compression ratio and bit rate efficiency worsen
Solution Approach 1:
The invention transforms the channel difference parameters through optimized mapping that exploits their statistical distribution properties. This parameter transformation allows for more efficient entropy coding of the difference information, enabling better utilization of available bits and improving the overall compression ratio while maintaining audio quality
Data Source
AI summary
An apparatus comprising: a channel analyzer configured to determine at least one set of parameters defining a difference between at least two audio signal channels; a value analyzer configured to analyze the at least one set of parameters to determine an initial trend; a mapper configured to map instances of the at least one set of parameters according to a first mapping to generate mapped instances with associated order position instances based on the initial trend; and an encoder configured to encode the mapped instances based on the order position of the mapped instances.