Block Audio Compression With Adaptive Scale Factor Control
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Solution Overview
Problem
Existing audio compression technologies face challenges in achieving high compression rates without significantly reducing audio quality, as lossy compression methods result in data loss and lower quality.
Innovation Solution
A method combining lossless and lossy compression, where audio signals are divided into blocks, with lossless compression applied first. If the block data size exceeds a budget, lossy compression is performed on channel signals using a scale factor, and the scale factor is adjusted to minimize data loss and quality impact.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If lossy compression is used to achieve higher compression rates, then compression rate is improved, but audio quality deteriorates due to data loss
Solution Approach 1:
The audio signal is divided into multiple blocks, with different compression strategies applied to different blocks. Blocks with important audio information use lossless compression, while blocks with less critical information use lossy compression, thereby achieving high overall compression rates while preserving essential audio quality.
Solution Approach 2:
Different compression methods are applied to different parts of the audio signal based on local characteristics. Lossless compression is applied to blocks containing important audio information, while lossy compression is applied to other blocks, optimizing the balance between compression rate and audio quality in different regions.
2Loss of information
If lossless compression is used to maintain audio quality, then audio quality is preserved, but compression rate is limited and insufficient
Solution Approach 1:
The audio signal is segmented into multiple blocks, allowing lossless compression to be applied only to blocks where it is most beneficial, while other blocks use lossy compression to achieve higher overall compression rates.
Solution Approach 2:
The compression strategy changes based on block characteristics. By analyzing each block and selecting appropriate compression parameters, the system achieves high compression rates where possible while maintaining quality where necessary.
3Loss of information
If scale factor is reduced to minimize data loss in lossy compression, then audio quality is improved, but compression rate decreases
Solution Approach 1:
The scale factor is dynamically adjusted based on block characteristics and importance. Different blocks use different scale factors, allowing the system to achieve high compression rates overall while maintaining acceptable audio quality in each block.
Solution Approach 2:
The compression parameters, including scale factor, are dynamically adapted to the characteristics of each audio block. This dynamic adjustment allows optimization of both compression rate and audio quality based on local signal properties.
Data Source
AI summary
An audio compression method, comprising: dividing an audio signal into at least one block signal, wherein each of the at least one block signal comprises a plurality of channel signals and has a block data size; performing a lossless compression on one of the at least one block signal; in response to the block data size of the compressed one of the at least one block signal being equal to or smaller than a budget data size, outputting the compressed audio signal; in response to the block data size of the compressed one of the at least one block signal being greater than the budget data size, performing a lossy compression on at least one of the plurality of channel signals based on a scale factor; and in response to all of the plurality of channel signals having been compressed based on the scale factor, reducing the scale factor.