Sound Localization via Coordinate Transformation in Irregular Spaces
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Solution Overview
Problem
Conventional mixing boards fail to achieve sound localization in non-rectangular parallelepiped physical spaces, as they do not consider the shape of the physical space, leading to suboptimal sound localization results.
Innovation Solution
An information processing method that receives space information for both logical and physical spaces, transforms sound localization information from a logical coordinate system to a physical coordinate system using geometric transformations like affine or projective transformations, allowing for sound localization that accounts for the physical space's shape.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional mixing boards use a rectangular parallelepiped coordinate system for sound localization, then the device complexity is low, but the sound localization precision deteriorates in non-rectangular physical spaces
Solution Approach 1:
The patent introduces a coordinate transformation module as an intermediary between the simple rectangular coordinate system and the complex physical space geometry. This module transforms coordinates from the rectangular parallelepiped system to the actual physical space coordinate system, enabling accurate sound localization without directly implementing complex geometric models in the mixing board hardware.
Solution Approach 2:
The patent creates a virtual rectangular parallelepiped coordinate system that copies the essential spatial relationships needed for sound localization, then uses transformation algorithms to map this simplified coordinate system to the actual physical space. This allows the mixing board to work with simple coordinates while still achieving accurate localization in complex spaces.
2Adaptability or versatility
If the mixing board adapts to various physical space shapes, then the adaptability improves, but the device complexity increases
Solution Approach 1:
The patent implements a universal coordinate transformation system that can handle multiple physical space configurations through a single software module. By using standard transformation algorithms (such as affine transformation or projective transformation), the system can adapt to various space shapes including rectangular, trapezoidal, and irregular geometries without requiring hardware modifications for each space type.
Solution Approach 2:
The patent enables adaptability to different physical spaces by changing the transformation parameters rather than the system architecture. The coordinate transformation module can be configured with different space geometry parameters (such as corner coordinates, scaling factors, or projection matrices) to match various physical environments, allowing the same device to adapt to diverse spaces through parameter adjustment.
Data Source
AI summary
An information processing method includes: receiving first space information including a first coordinate system of one of a logical space or a physical space, and second space information including a second coordinate system of the other of the logical space or the physical space; receiving first sound localization information indicating a position where a sound image is to be localized in the first coordinate system; and transforming the first sound localization information into second sound localization information indicating a position where the sound image is to be localized in the second coordinate system.