Acoustic Control Apparatus Using Complex Sound Pressure Ratio Approximation
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Solution Overview
Problem
Conventional techniques for simulating acoustic effects using head-related transfer functions suffer from deterioration in acoustic quality, increased hardware requirements, and reduced processing speed due to signal processing loads, and lack robustness when the listener's binaural position deviates from a specific sweet spot.
Innovation Solution
An acoustic control apparatus that uses a control filter to approximate the complex sound pressure ratio at a target binaural position by calculating control filter coefficients based on head-related transfer functions from loudspeakers and virtual acoustic sources, allowing for robust acoustic reproduction even when the listener's position fluctuates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If head-related transfer function is used for acoustic control, then acoustic quality is improved, but processing speed and hardware performance deteriorate due to signal processing load
Solution Approach 1:
The patent transforms the complex head-related transfer function into a simplified control filter coefficient through parameter transformation. By changing the mathematical representation from full HRTF to compressed control coefficients, the system maintains acoustic quality while reducing processing complexity and improving computational speed.
Solution Approach 2:
The patent extracts only the essential components of the head-related transfer function needed for acoustic control. By separating and retaining only the critical parameters required for spatial audio reproduction, the system achieves accurate acoustic control with significantly reduced processing load compared to using complete HRTF data.
2Measurement precision
If head-related transfer function is used for acoustic control, then acoustic quality is improved, but hardware scale increases
Solution Approach 1:
The patent extracts only the necessary control parameters from the complete head-related transfer function. By identifying and retaining only the essential components needed for acoustic spatial control, the system reduces hardware requirements while preserving acoustic quality.
Solution Approach 2:
The patent transforms the extensive HRTF parameter set into a compact control filter coefficient representation. This parameter transformation reduces the data structure size and simplifies hardware implementation while maintaining the core acoustic control functionality.
3Measurement precision
If conventional acoustic control is used with fixed sweet spot, then acoustic quality is improved at specific position, but robustness deteriorates when listener position fluctuates
Solution Approach 1:
The patent introduces dynamic adaptation to the acoustic control system. By enabling the control filter to adjust based on actual listener position feedback, the system transitions from a static sweet-spot-dependent configuration to a dynamic system that maintains acoustic quality across position fluctuations.
Solution Approach 2:
The patent implements feedback mechanisms that monitor listener position and adjust control parameters accordingly. This feedback loop allows the system to compensate for position deviations from the sweet spot, maintaining robust acoustic reproduction even when the listener moves.
Data Source
AI summary
According to an embodiment, a control filter coefficient is calculated in such a manner that a second spatial average of one or more complex sound pressure ratios at one or more target binaural positions when a first loudspeaker and a second loudspeaker emit a second acoustic signal and a first acoustic signal is approximated to a first spatial average of one or more complex sound pressure ratios at the one or more target binaural positions when a target virtual acoustic source emits the first acoustic signal.