Audio Coding Rearranging Enhancement Data for Bandwidth Adaptation
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Solution Overview
Problem
Current audio coding techniques, such as Scalable Lossless (SLS) coders, are limited in accommodating bit-rate variations and low bit-rate availabilities, resulting in limited quality improvement from available bandwidth variations.
Innovation Solution
The method involves generating base and enhancement data from audio signals, where the enhancement data is rearranged based on sectional factors such as zero-line ratios to prioritize more significant spectral sections, allowing for improved fine granular scalability and bit-shifting to enhance audio quality during varying bit-rate conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional fixed bit-rate coding methods are used, then the coding process is simple and stable, but the system cannot adapt to bandwidth variations and quality improvement is limited when additional bandwidth is available
Solution Approach 1:
The audio signal is divided into multiple spectral sections (scale-factor bands) that are processed and coded separately. Each spectral section can be independently coded at different bit rates, allowing the system to adapt to varying bandwidth conditions by adjusting the allocation of bits to different spectral regions without requiring complete recoding of the entire signal.
Solution Approach 2:
The invention changes the coding parameters dynamically based on available bandwidth by using zero-line ratio calculations to determine which spectral sections require enhancement. When bandwidth increases, the system activates enhancement data for spectral sections with high zero-line ratios, improving audio quality in those regions without uniformly increasing complexity across all frequency ranges.
2Manufacturing precision
If enhancement data for all spectral sections are transmitted equally, then comprehensive audio quality improvement is achieved, but transmission efficiency decreases and bandwidth is wasted on less significant sections
Solution Approach 1:
The invention applies different coding strategies to different spectral sections based on their local characteristics. Spectral sections with high zero-line ratios (indicating more zero-valued coefficients) receive enhancement data prioritization, while sections with low zero-line ratios receive less or no enhancement. This localized approach improves audio quality where it matters most while maintaining transmission efficiency.
Solution Approach 2:
The system dynamically changes the allocation of enhancement data to spectral sections based on calculated zero-line ratios. When additional bandwidth is available, enhancement data is preferentially allocated to spectral sections with higher zero-line ratios, which benefit more from the enhancement. This parameter-based allocation optimizes the trade-off between audio quality improvement and transmission efficiency.
3Manufacturing precision
If enhancement data are transmitted in original order, then the coding process is simple, but the quality improvement is limited because significant spectral sections are not prioritized
Solution Approach 1:
The invention performs preliminary analysis of spectral sections by calculating zero-line ratios before transmitting enhancement data. Based on these pre-calculated metrics, the system rearranges enhancement data to prioritize spectral sections that will benefit most from enhancement. This preliminary action ensures that when bandwidth becomes available, the most significant spectral regions receive enhancement first, maximizing perceived audio quality improvement.
Solution Approach 2:
The system changes the transmission order parameter of enhancement data based on zero-line ratio calculations. Spectral sections with higher zero-line ratios are prioritized in the transmission sequence, allowing receivers to achieve better audio quality improvement with the same amount of enhancement data by receiving the most significant sections first.
4Manufacturing precision
If more enhancement data are transmitted to improve audio quality, then sound quality improves, but the required bandwidth increases which reduces adaptability to limited bandwidth conditions
Solution Approach 1:
The invention applies enhancement data selectively to specific spectral sections rather than uniformly across the entire frequency spectrum. By identifying spectral sections with high zero-line ratios, the system concentrates enhancement resources on regions where they will have the greatest impact on audio quality, achieving better quality improvement per unit of bandwidth consumed.
Solution Approach 2:
The system dynamically changes the amount of enhancement data transmitted based on available bandwidth and zero-line ratio measurements. When bandwidth is limited, only enhancement data for the most significant spectral sections (highest zero-line ratios) is transmitted. When bandwidth increases, additional enhancement data is allocated to improve quality in other spectral regions, optimizing the quality-bandwidth trade-off.
Data Source
AI summary
A method and a device for audio coding are disclosed. An audio coding device includes an audio coder for receiving audio signals and generating base data and enhancement data; and a rearranging device coupled to the audio coder. The rearranging device rearranges the enhancement data according to sectional factors of spectral sections to allow output data to be generated from rearranged enhancement data. The base data contain data capable of being decoded to generate a portion of the audio signals, and the enhancement data cover at least two spectral sections of data representative of a residual portion of the audio signals.