Spatialized Audio Rendering via Head Pose Detection
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Solution Overview
Problem
Current spatialized audio systems are unable to accurately account for the location and orientation of multiple listeners, leading to misaligned sound and cognitive dissonance, which can cause physiological side-effects such as headaches and nausea.
Innovation Solution
A spatialized audio system that includes a sensor to detect the head pose of a listener and a processor to render audio data in two stages. The first stage simplifies audio data by reducing the number of sources, and the second stage further refines the audio based on the most current head pose, reducing system lag and latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If current spatialized audio systems assume all listeners are positioned at the center of the sound field, then the system complexity is reduced, but the audio accuracy and listener experience deteriorate
Solution Approach 1:
The system performs preliminary action by detecting head pose before audio rendering, using sensor data to determine listener orientation and position. This allows the audio system to pre-adjust spatial parameters before generating the sound field, ensuring accuracy without requiring complex real-time adjustments during playback
Solution Approach 2:
The system implements dynamics by making the audio rendering adaptive to changing head pose conditions. The spatialized audio parameters are dynamically adjusted based on real-time sensor feedback, allowing the system to maintain accuracy as the listener moves while avoiding the need for fixed complex calibration for every possible position
2Measurement precision
If the system renders audio data in multiple stages, then the audio accuracy improves, but the processing time increases
Solution Approach 1:
The audio rendering process is segmented into distinct stages: head pose detection, spatial parameter calculation, and audio generation. This segmentation allows each stage to be optimized independently, with the sensor providing raw data that is then processed through mathematical models before final audio output, improving overall accuracy without requiring all processing to occur simultaneously
Solution Approach 2:
The system performs preliminary processing by detecting head pose and calculating spatial parameters before actual audio rendering. This preliminary action separates the computationally intensive spatial calculation from the audio generation phase, allowing accurate spatialization to be achieved without blocking the audio playback timeline
3Measurement precision
If the system detects and responds to rapid head movements, then the spatialized audio accuracy improves, but system lag and latency increase
Solution Approach 1:
The system implements periodic action by sampling head pose at regular intervals rather than continuously processing every movement. This periodic sampling approach maintains spatialized audio accuracy for deliberate head movements while reducing processing overhead that would cause lag during rapid or incidental movements, creating a natural threshold for when spatial adjustments are warranted
Data Source
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AI summary
A spatialized audio system includes a sensor to detect a head pose of a listener and a processor to render (508), based on the detected head pose of the listener, first audio data corresponding to a first plurality of virtual sources (604) to second audio data corresponding to a second plurality of virtual sources (606); and reproduce (510), based on the second audio data, a spatialized sound field corresponding to the first audio data for the listener (200), wherein the second plurality of virtual sources (606) consists of fewer sources than the first plurality of virtual sources (604), and wherein rendering the first audio data to the second audio data comprises each of the second plurality of virtual sources (606) recording virtual sound generated by the first plurality of virtual sources (604) at a respective one of a second plurality of positions.