Audio Spatialization Emphasis Filtering for Artifact-Free Gain Shifts
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Solution Overview
Problem
Existing audio signal processing systems in virtual environments face challenges in accurately presenting soundscapes while minimizing sonic artifacts and maintaining computational efficiency, particularly for mobile devices.
Innovation Solution
Implementing pre-emphasis and de-emphasis filters in audio spatialization systems to adjust gain values smoothly over time, reducing sonic artifacts by filtering low and high frequency energy, respectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If rapid changes are made to audio signals to reflect changing positions and orientations of objects and user, then the soundscape accurately reflects the virtual environment, but sonic artifacts such as clicking sounds occur that compromise immersiveness
Solution Approach 1:
The system applies pre-emphasis filtering before gain adjustment to pre-condition the audio signal. This preliminary action modifies the signal characteristics in advance, making subsequent gain changes smoother and reducing the occurrence of sonic artifacts when object or user positions change rapidly.
Solution Approach 2:
The system changes the frequency characteristics of the audio signal by applying pre-emphasis and de-emphasis filters. This parameter change in the signal domain allows for smoother gain transitions and reduces high-frequency components that would otherwise manifest as audible clicking artifacts during rapid spatial updates.
2Object-affected harmful factors
If techniques are applied to reduce sonic artifacts, then audio quality improves, but computational cost increases particularly for mobile devices
Solution Approach 1:
The system applies simple first-order pre-emphasis and de-emphasis filters that modify signal parameters with minimal computational overhead. These filters use basic mathematical operations that are computationally efficient and well-suited for mobile devices, unlike more complex artifact reduction techniques.
Solution Approach 2:
The system uses computationally inexpensive filtering operations that can be applied rapidly and discarded each frame. These simple filter operations require minimal processing resources compared to sophisticated artifact reduction algorithms, making them ideal for real-time mobile audio processing.
3Measurement precision
If gain values are adjusted rapidly to reflect changing spatial positions, then audio spatialization accuracy improves, but sonic artifacts occur due to abrupt gain changes
Solution Approach 1:
The pre-emphasis filter is applied before gain adjustment to pre-condition the signal. This preliminary filtering action shapes the signal spectrum in advance, reducing high-frequency content that would be accentuated by rapid gain changes and causing clicking artifacts.
Solution Approach 2:
The system modifies the frequency domain parameters of the audio signal through pre-emphasis and de-emphasis filtering. This parameter transformation allows rapid gain adjustments to be made in the spatial domain while the frequency domain characteristics remain smooth, preventing audible artifacts.
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
Enhances the realism and immersion of audio experiences by minimizing sonic artifacts and optimizing computational resources.
Implementation Method 1
applying a pre-emphasis filter to the first input audio signal comprises attenuating a low frequency component of the first input audio signal
Implementation Method 2
applying a de-emphasis filter to the first audio signal comprises attenuating a high frequency component of the first audio signal
Data Source
Figure 1A
Figure 1B
Figure 2A~2B
AI summary
Examples of the disclosure describe systems and methods for presenting an audio signal to a user of a wearable head device. According to an example method, a first input audio signal is received. The first input audio signal is processed to generate a first output audio signal. The first output audio signal is presented via one or more speakers associated with the wearable head device. Processing the first input audio signal comprises applying a pre-emphasis filter to the first input audio signal; adjusting a gain of the first input audio signal; and applying a de- emphasis filter to the first audio signal Applying the pre-emphasis filter to the first input audio signal comprises attenuating a low frequency component of the first input audio signal. Applying the de-emphasis filter to the first input audio signal comprises attenuating a high frequency component of the first input audio signal.