Binaural Multi-Channel Decoding with HRTF Energy Correction
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Solution Overview
Problem
Existing methods for generating binaural signals from multi-channel audio face challenges in energy conservation and spectral coloring due to non-energy-conserving upmixing rules, especially when using HRTF filters, leading to artifacts in binaural output.
Innovation Solution
A multi-channel decoder is developed that calculates a gain factor to correct energy errors in the upmixing process, using upmix rule information and HRTF filter characteristics to produce an energy-corrected binaural signal without fully rendering the multi-channel signal, thereby reducing spectral coloring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If non-energy-conserving upmixing rules are used to achieve waveform matching, then time domain waveform matching is improved, but energy conservation deteriorates causing energy errors
Solution Approach 1:
The patent modifies the upmixing parameters by introducing energy correction factors that adjust the prediction coefficients. This allows the system to maintain waveform matching accuracy while compensating for energy losses introduced by non-energy-conserving upmixing rules, effectively changing the parameters to satisfy both waveform fidelity and energy conservation requirements
2Device complexity
If HRTF filters are combined linearly based on prediction parameters, then binaural signal generation is simplified, but spectral coloring artifacts increase
Solution Approach 1:
The patent converts the harmful spectral coloring artifacts into beneficial effects by using the prediction parameters that cause the artifacts to also guide the energy correction process. The same parameters that lead to waveform matching are now used to apply appropriate energy compensation, turning the source of artifacts into a mechanism for artifact reduction while maintaining computational simplicity
3Measurement precision
If prediction parameters are optimized for waveform matching, then time domain accuracy is improved, but frequency domain energy distribution deteriorates
Solution Approach 1:
The patent segments the signal processing into distinct time domain and frequency domain components. Prediction parameters are optimized for time domain waveform matching while separate energy correction factors are applied to compensate for frequency domain energy distribution errors. This segmentation allows independent optimization of each domain without compromising the other
Data Source
AI summary
A multi-channel decoder for generating a binaural signal from a downmix signal using upmix rule information on an energy-error introducing upmix rule for calculating a gain factor based on the upmix rule information and characteristics of head related transfer function based filters corresponding to upmix channels. The one or more gain factors are used by a filter processor for filtering the downmix signal so that an energy corrected binaural signal having a left binaural channel and a right binaural channel is obtained.


