Adaptive Spectral Component Encoding for Audio Bitrate Adaptation
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Solution Overview
Problem
Existing audio encoding and decoding technologies face challenges in adaptively encoding and decoding spectral coefficients for various bit rates and sub-band sizes in the frequency domain, limiting their efficiency and flexibility.
Innovation Solution
A method and apparatus that select important spectral components in band units and encode information based on their number, position, magnitude, and sign, allowing for adaptive encoding and decoding of spectral coefficients.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional quantizers (TCQ, USQ, FPC, AVQ, PVQ) are used for encoding spectral coefficients, then encoding efficiency is improved for specific applications, but adaptability to various bit rates and sub-band sizes deteriorates
Solution Approach 1:
The patent implements dynamic selection of important spectral components based on bit rate and sub-band size conditions. The encoder adaptively determines which spectral components to encode by comparing against a threshold value that varies according to the specific application requirements, enabling the system to optimize encoding efficiency for different bit rates and sub-band configurations rather than being fixed to a single quantization scheme
Solution Approach 2:
The patent changes the encoding parameters dynamically by selecting important spectral components based on varying bit rate and sub-band size parameters. The threshold for determining importance is adjusted according to these parameters, allowing the encoding system to adapt its behavior to match different application requirements and achieve optimal efficiency across diverse conditions
2Measurement precision
If all spectral components are encoded in detail, then decoding accuracy is improved, but data transmission volume and complexity increase
Solution Approach 1:
The patent extracts and encodes only the important spectral components rather than all spectral components. By identifying components that exceed a determined threshold and encoding only those, the system maintains decoding accuracy for perceptually significant frequencies while reducing the quantity of data that needs to be transmitted and processed
Solution Approach 2:
The patent creates a simplified representation of the spectral data by copying only the essential information (important spectral components) rather than the complete spectral data. This selective copying approach preserves the most critical audio information while significantly reducing data transmission volume
Data Source
AI summary
A spectrum encoding method includes selecting an important spectral component in band units for a normalized spectrum and encoding information of the selected important spectral component for a band, based on a number, a position, a magnitude and a sign thereof. A spectrum decoding method includes obtaining from a bitstream, information about an important spectral component for a band of an encoded spectrum and decoding the obtained information of the important spectral component, based on a number, a position, a magnitude and a sign of the important spectral component.