Binaural Audio Object Extraction for Frequency-Dependent Post-Processing
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Solution Overview
Problem
Existing audio post-processing systems for binaural audio struggle with frequency-dependent level and time differences, leading to suboptimal manipulation and separation of objects in binaural audio signals.
Innovation Solution
A method involving signal transformation, spatial analysis, and object extraction to estimate and process binaural audio signals using frequency-dependent level and time differences, allowing for separate processing of main and residual components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If linear gains are used for audio post-processing, then the processing works well for channel-based signals such as stereo audio, but it does not work well for binaural audio because binaural audio has frequency-dependent level and time differences
Solution Approach 1:
The patent changes the processing parameters from fixed linear gains to frequency-dependent parameters including HRTF (head-related transfer function) filtering and frequency-specific level adjustments. This allows the system to adapt the processing characteristics to match the frequency-dependent nature of binaural audio, resolving the contradiction between ease of processing and processing accuracy.
Solution Approach 2:
The system dynamically adjusts processing parameters based on the frequency content and spatial characteristics of the binaural audio signal. By making the processing adaptive rather than static, the system can maintain both ease of operation through automated parameter adjustment and high accuracy through frequency-specific optimization.
2Device complexity
If existing signal decomposition and upmixing processes are used, then the processes are simple and easy to implement, but they do not accurately separate binaurally rendered objects from the mix
Solution Approach 1:
The patent segments the binaural audio signal into distinct components including HRTF-filtered signals, direct signals, and reflected signals across different frequency bands. This segmentation enables accurate separation of binaurally rendered objects from the mix by isolating their characteristic frequency-dependent patterns, while the modular approach keeps the implementation manageable.
Solution Approach 2:
The system introduces HRTF (head-related transfer function) filtering as an intermediary mechanism that captures the frequency-dependent spatial characteristics of binaural audio. This intermediary allows accurate object separation by exploiting the unique spectral signatures left by the HRTF filtering process, bridging the gap between simple processing and high accuracy.
3Ease of operation
If relative changes due to rotation are performed on the full mix or coherent element only, then the processing is straightforward, but it does not allow different processing to be applied to different objects
Solution Approach 1:
The patent segments the audio signal into object-specific components based on their spatial and frequency characteristics. This segmentation enables the system to apply different processing operations to different objects (e.g., speech enhancement for dialogue objects, attenuation for background objects) while maintaining operational simplicity through automated classification and processing.
Solution Approach 2:
The system applies local quality processing by tailoring processing parameters to each specific object or signal component. Different objects receive customized processing based on their identified characteristics, such as different level adjustments, equalization, or spatial manipulation, enabling versatile object-specific processing while keeping the overall operation simple through automation.
Data Source
AI summary
A method of audio processing includes performing object extraction on a binaural audio signal to generate a main component signal and a residual component signal. The system may process the main and residual components using different processing parameters to generate a processed binaural signal that provides an improved listening experience.