Adaptive IPD Extraction for Stereo Audio Phase Accuracy
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Solution Overview
Problem
Existing methods for extracting inter-channel phase difference (IPD) parameters in stereo audio coding require significant resources and either result in low coding accuracy or poor quality due to the use of a single Group IPD parameter, leading to inefficient use of resources and inadequate phase information maintenance.
Innovation Solution
A method and apparatus that enriches the choices of IPD parameter extraction manners by using multiple preset extraction methods based on signal feature parameters of the current and previous frames, allowing for adaptive selection of the most suitable extraction manner, such as group IPD or subband IPD, to maintain phase information and improve coding quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If an IPD parameter is calculated for each subband of a frequency-domain signal, then phase information accuracy is improved, but resource consumption increases and coding rate decreases
Solution Approach 1:
The frequency domain is segmented into multiple subbands, and IPD parameters are selectively calculated for different subbands based on signal characteristics. This segmentation allows the system to focus computational resources on subbands that contribute most to phase information accuracy, rather than uniformly processing all subbands.
Solution Approach 2:
Different extraction manners are applied to different subbands based on local signal characteristics. The system determines whether to calculate IPD for each subband individually or use a group IPD parameter for multiple subbands, depending on the specific requirements of each subband region.
2Device complexity
If only one Group IPD parameter is extracted for the entire frequency-domain signal, then resource consumption is reduced, but phase information accuracy and coding quality deteriorate
Solution Approach 1:
The system dynamically selects between different IPD extraction manners (subband-level or group-level) based on signal characteristics such as inter-channel coherence and signal type. This dynamic adaptation allows the system to optimize the balance between resource consumption and phase information accuracy for different audio content.
Solution Approach 2:
The extraction manner parameter is changed based on signal features. When inter-channel coherence is high or for certain signal types, the system uses group IPD parameters to save resources. When coherence is low or phase accuracy is critical, the system switches to subband-level IPD extraction.
3Reliability
If multiple IPD parameter extraction manners are provided with adaptive selection, then coding quality and phase information maintenance are improved, but system complexity increases
Solution Approach 1:
The system uses feedback from signal characteristic analysis (inter-channel coherence, signal type detection) to determine the appropriate IPD extraction manner. This feedback mechanism enables adaptive selection that improves coding quality while keeping the complexity increase manageable through rule-based decision logic.
Data Source
AI summary
An inter-channel phase difference (IPD) parameter extraction method includes obtaining a parameter for obtaining an information extraction manner for a current frame of a multi-channel signal; obtaining an IPD parameter extraction manner for the current frame based on the parameter for obtaining the information extraction manner, where the obtained IPD parameter extraction manner is one of at least two preset IPD parameter extraction manners; and obtaining an IPD parameter of the current frame based on the obtained IPD parameter extraction manner for the current frame.