Split-Band Audio Encoding for Bandwidth-Efficient Sound Quality
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Solution Overview
Problem
Existing audio encoding technologies compromise audio quality to achieve efficiency, leading to suboptimal performance in bandwidth utilization.
Innovation Solution
The method involves down-sampling audio signals to separate low-frequency and high-frequency components, performing feature extraction on each, and encoding them separately to reduce feature dimensions, thereby improving encoding efficiency while maintaining quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional audio encoding is used to ensure audio quality, then audio quality is maintained, but encoding efficiency is greatly reduced
Solution Approach 1:
The audio signal is segmented into low-frequency and high-frequency components through down-sampling and feature extraction. The low-frequency signal is processed separately from the high-frequency signal, allowing differential encoding strategies to be applied to each frequency band, thereby improving overall encoding efficiency while maintaining audio quality
Solution Approach 2:
Different feature dimensions are allocated to different frequency bands based on their importance. The low-frequency signal, which has greater impact on audio quality, is assigned higher feature dimensions, while the high-frequency signal is assigned lower feature dimensions. This local quality differentiation optimizes the balance between encoding efficiency and audio quality
2Productivity
If feature dimension is reduced to improve encoding efficiency, then encoding efficiency is improved, but audio quality may deteriorate
Solution Approach 1:
The patent applies different feature dimension reduction strategies to different frequency bands. The low-frequency signal maintains higher feature dimensions to preserve audio quality, while the high-frequency signal undergoes more aggressive dimension reduction. This localized approach ensures encoding efficiency improvement without significant audio quality deterioration
Solution Approach 2:
By separating the audio signal into low-frequency and high-frequency components, the patent enables independent optimization of feature dimensions for each segment. This segmentation allows the system to reduce overall feature dimensions for efficiency while maintaining sufficient dimensions in the critical low-frequency band for quality preservation
Data Source
AI summary
This application provides an audio encoding method performed by an electronic device. The method includes: performing down-sampling on an audio signal to obtain a low-frequency signal of the audio signal and low-frequency feature extraction on the low-frequency signal to obtain a low-frequency feature of the audio signal; performing high-frequency analysis on the audio signal to obtain a high-frequency feature of the audio signal, a feature dimension of the high-frequency feature being lower than a feature dimension of the low-frequency feature; performing encoding on the low-frequency feature and the high-frequency feature to obtain a low-frequency code stream of the audio signal and a high-frequency code stream of the audio signal; and transmitting the low-frequency code stream of the audio signal and the high-frequency code stream of the audio signal to a second electronic device via a computer network.