Binaural Rendering with Distance-Based Low-Pass Filtering
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Solution Overview
Problem
Existing audio rendering technologies fail to accurately consider attenuation rates for each frequency during binaural rendering, leading to unrealistic audio experiences due to environmental variability.
Innovation Solution
A method and apparatus for binaural rendering that utilizes metadata-based distance information to generate a binaural filter with a low-pass filter (LPF) applied, controlling frequency response to reflect the attenuation rate of audio signals based on distance, thereby generating a more realistic audio signal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If frequency-specific attenuation rates are considered in binaural rendering, then audio realism is improved, but computational complexity increases
Solution Approach 1:
The audio spectrum is segmented into multiple frequency bands (low, mid, high frequencies) and processed separately with different attenuation rates. This allows frequency-specific attenuation to be applied efficiently using bandpass filters for each frequency range, rather than processing the entire spectrum uniformly, thus improving audio realism while managing computational complexity through structured segmentation.
Solution Approach 2:
The attenuation rate parameter is changed dynamically based on distance and frequency. Different attenuation coefficients are applied to different frequency bands according to the distance between sound source and listener, reflecting real-world acoustic behavior where high frequencies attenuate faster than low frequencies over distance. This parameter variation improves rendering accuracy without requiring complete recalculation of the entire audio signal.
2Ease of operation
If distance-based attenuation is applied to all frequencies uniformly, then processing simplicity is maintained, but audio realism deteriorates
Solution Approach 1:
Different attenuation characteristics are applied to different parts of the frequency spectrum based on local requirements. Low frequencies receive different attenuation rates compared to mid and high frequencies, reflecting the physical reality that sound propagation varies by frequency. This local differentiation improves audio realism while maintaining processing efficiency through targeted application of attenuation to specific frequency bands rather than uniform processing.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively generates a more realistic audio signal by adjusting the cutoff frequency of the LPF according to distance, improving the accuracy of audio rendering by considering frequency-specific attenuation rates, resulting in a more immersive listening experience.
Implementation Method 1
an attenuation rate of a low frequency is less than that of a high frequency at a distance of 15 m or greater
Implementation Method 2
obtaining a binaural filter to which a low-pass filter (LPF) is applied, using a frequency response control that is based on the distance information
Implementation Method 3
generating a binaural-rendered output signal by performing a convolution of the input signal and the binaural filter to which the LPF is applied
Implementation Method 4
generating a binaural filter that is based on the metadata, using a binaural room impulse response
Data Source
AI summary
A method and apparatus for performing binaural rendering of an audio signal are provided. The method includes identifying an input signal that is based on an object, and metadata that includes distance information indicating a distance to the object, generating a binaural filter that is based on the metadata, using a binaural room impulse response, obtaining a binaural filter to which a low-pass filter (LPF) is applied, using a frequency response control that is based on the distance information, and generating a binaural-rendered output signal by performing a convolution of the input signal and the binaural filter to which the LPF is applied.