Background Noise Encoding Using Dual-Layer Parameter Extraction
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Solution Overview
Problem
Existing encoding-decoding methods for background noise signals in voice communications only use core layer characteristic parameters, leading to inaccurate reconstruction and poor quality encoding and decoding due to the exclusion of higher band background noise signal characteristics.
Innovation Solution
The method involves extracting and encoding both core layer and enhancement layer characteristic parameters of the background noise signal, including spectrum and energy parameters, to improve the accuracy of encoding and decoding by encapsulating these parameters into a SID frame for enhanced processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only core layer characteristic parameters are used for encoding-decoding, then the encoding complexity is reduced, but the reconstruction accuracy and encoding quality deteriorate
Solution Approach 1:
The patent segments the characteristic parameters into two distinct layers: core layer parameters (spectrum and energy) and enhancement layer parameters (additional spectral characteristics, temporal features). This segmentation allows the system to process parameters in hierarchical stages, where the core layer provides basic reconstruction and the enhancement layer refines the accuracy, thereby resolving the contradiction between complexity reduction and accuracy improvement.
Solution Approach 2:
The patent introduces an additional dimensional layer by adding enhancement layer parameters beyond the traditional core layer parameters. This dimensional expansion transforms the encoding from a single-layer approach to a multi-layer hierarchical structure, enabling more comprehensive signal representation without linearly increasing overall complexity, thus improving reconstruction accuracy while managing complexity.
2Loss of time
If only core layer characteristic parameters are used, then the processing time is reduced, but the encoding quality and background noise representation deteriorate
Solution Approach 1:
The patent implements preliminary action by first encoding the core layer parameters which capture the essential characteristics of the background noise signal. This preliminary encoding provides a baseline reconstruction quickly, and then the enhancement layer parameters are processed to refine the quality. This staged approach reduces overall processing time compared to processing all parameters simultaneously, while still achieving high encoding quality.
Solution Approach 2:
The patent ensures continuity of useful action by maintaining an ongoing encoding process where core layer parameters provide continuous basic coverage and enhancement layer parameters continuously refine the quality. This continuous multi-layer processing ensures that encoding quality is consistently improved without significant interruptions or delays, resolving the contradiction between processing time and encoding quality.
Data Source
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AI summary
An encoding method includes: extracting core layer characteristic parameters and enhancement layer characteristic parameters of a background noise signal, encoding the core layer characteristic parameters and enhancement layer characteristic parameters to obtain a core layer codestream and an enhancement layer codestream. The disclosure also provides an encoding device, a decoding device and method, an encapsulating method, a reconstructing method, an encoding-decoding system and an encoding-decoding method. By describing the background noise signal with the enhancement layer characteristic parameters, the background noise signal can be processed by using more accurate encoding and decoding method, so as to improve the quality of encoding and decoding the background noise signal.