Multi-Device Audio Capture for XR Emission Pattern Mapping
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Solution Overview
Problem
Determining the audio emission pattern of a virtual object in an extended reality (XR) environment is difficult and often requires highly controlled conditions, making it challenging to replicate the audio characteristics of physical objects accurately.
Innovation Solution
Utilizing multiple electronic devices such as smartphones and head-mounted devices to determine the audio emission pattern of physical objects by combining audio data from multiple microphones, synchronizing and processing the sound recordings to generate a combined audio pick-up pattern, and transforming this data into a virtual environment to replicate the audio characteristics of physical sound sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple electronic devices are used to determine audio emission patterns, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the audio measurement task across multiple separate electronic devices (first device, second devices), each performing local audio pickup and pattern determination. This segmentation allows distributed processing that improves measurement accuracy while keeping individual device complexity manageable.
Solution Approach 2:
The patent combines audio data from multiple devices through a processor that integrates audio signals and determines combined audio emission patterns. This merging approach aggregates information from multiple sources to achieve superior measurement precision that cannot be obtained from a single device.
2Measurement precision
If audio data from multiple devices is combined, then audio emission pattern accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary processing at each individual device to determine local audio emission patterns before the data is combined. This preliminary action reduces the amount of raw data that needs to be processed centrally, thereby reducing overall processing time while maintaining accuracy.
Solution Approach 2:
The processor continuously combines and processes audio data from multiple devices in an ongoing manner, rather than processing all data in a single batch. This continuous processing approach maintains measurement accuracy while reducing total processing time through efficient data integration.
Data Source
AI summary
In one implementation, a method of visualizing a combined audio pick-up pattern is performed at a first device in a physical environment, the first device including a display, one or more processors, and non-transitory memory. The method includes determining a first audio pick-up pattern of the first device. The method includes determining one or more second audio pick-up patterns of a respective one or more second devices. The method includes determining a combined audio pick-up pattern of the first device and the one or more second devices based on the first audio pick-up pattern and the one or more second audio pick-up patterns. The method includes displaying, on the display, a representation of the combined audio pick-up pattern.