Audio Noise Encoding Around Important Spectral Components
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Solution Overview
Problem
Existing audio signal encoding and decoding methods face challenges in improving sound quality using limited bit rates, particularly in effectively allocating bits to noise components in audio signals.
Innovation Solution
A method and apparatus that identify sections near important spectral components and sub-bands not to be output as noise, allowing for efficient encoding and decoding by selectively encoding and decoding noise components, thereby optimizing bit allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noise components are encoded with more bits, then sound quality is improved, but bit rate consumption increases
Solution Approach 1:
The patent applies local quality by differentiating encoding precision across different frequency regions. Important spectral components are encoded with high precision while noise components are encoded with lower precision, creating non-uniform quality distribution that optimizes perceptual sound quality for the given bit rate
Solution Approach 2:
The audio spectrum is segmented into important spectral components and noise components. This segmentation allows independent encoding strategies for each segment, allocating more bits to perceptually important regions and fewer bits to noise regions
2Productivity
If all spectral components are encoded uniformly, then encoding simplicity is maintained, but encoding efficiency is reduced
Solution Approach 1:
The encoding system dynamically adjusts encoding parameters based on the characteristics of each spectral component. The encoder identifies important spectral components versus noise components and applies different encoding strategies adaptively, rather than using a static uniform approach
Solution Approach 2:
The patent changes encoding parameters selectively for different spectral components. Important spectral components receive different encoding treatment compared to noise components, with parameters such as bit allocation and precision being modified based on component type
Data Source
AI summary
Provided is a method and apparatus for encoding/decoding an audio signal. Sections which are not used to output noise components near important spectral components and sub-bands which are not used to output noise components, are determined to be encoded or decoded, so that the efficiency of encoding and decoding an audio signal increases, and sound quality can be improved using less bits.