Binaural Room Impulse Response Filter Segmentation
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Solution Overview
Problem
Current audio rendering technologies face challenges in providing flexible and adaptive encoding and decoding of audio data to accommodate various speaker configurations and acoustic conditions, limiting the ability to deliver high-fidelity surround sound experiences across different setups.
Innovation Solution
The implementation of binaural room impulse response (BRIR) filters and spherical harmonic coefficients (SHC) for rendering audio, which allows for efficient rendering of audio signals by segmenting BRIR filters and applying them in the spherical harmonics domain, reducing computational complexity and enhancing sound localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If binaural room impulse response filters are applied to each channel of multichannel audio, then sound fidelity and spatial accuracy are improved, but computational complexity increases significantly
Solution Approach 1:
The multichannel audio signal is divided into multiple individual channels, and the BRIR filtering operation is segmented and applied independently to each channel. This allows the complex 3D audio rendering to be broken down into manageable per-channel operations, reducing overall computational complexity while maintaining sound fidelity
Solution Approach 2:
The patent applies BRIR filtering selectively to enhance spatial audio rendering where needed, rather than applying full complex processing to all audio data uniformly. This partial application of filtering achieves convincing surround sound effects while avoiding unnecessary computational overhead in areas where full processing is not required
2Adaptability or versatility
If adaptive weighting and combining of audio channels is implemented, then adaptability to different speaker configurations is improved, but device complexity increases
Solution Approach 1:
The system dynamically adjusts weighting factors for different audio channels based on the detected speaker configuration and acoustic conditions. This dynamic adaptation allows the audio rendering to automatically optimize for different setups (stereo, surround, virtual reality) without requiring manual reconfiguration, achieving versatility through adaptive processing
Solution Approach 2:
The patent incorporates feedback mechanisms that analyze the output audio signal and acoustic conditions to adjust the weighting and combining of channels in real-time. This feedback-driven adaptation enables the system to maintain optimal performance across varying speaker configurations and acoustic environments
Data Source
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AI summary
A device comprising one or more processors is configured to apply adaptively determined weights to a plurality of channels of the audio signal to generate a plurality of adaptively weighted channels of the audio signal. The processors are further configured to combine at least two of the plurality of adaptively weighted channels of the audio signal to generate a combined signal. The processors are further configured to apply a binaural room impulse response filter to the combined signal to generate a binaural audio signal.