Voice-Driven Spatial Audio Control for Natural Mixed Reality
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Solution Overview
Problem
Existing virtual reality and mixed reality systems struggle to create immersive and natural conversation environments where a speaker's voice characteristics, such as volume and inflections, effectively determine who can hear them, leading to challenges in mimicking real-world communication dynamics.
Innovation Solution
A system that analyzes a speaker's voice parameters and adjusts acoustic parameters in real-time to control who can hear the speaker, using wearable head devices with microphones and processors to generate spatialized audio signals based on voice analysis, orientation, and gestures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If distance-based attenuation models are used to determine audio propagation, then the system is simple to implement, but it cannot effectively mimic real-world communication dynamics where voice characteristics determine who can hear
Solution Approach 1:
The system dynamically changes acoustic parameters (volume, spatial position, attenuation) based on analyzed voice parameters such as loudness, pitch, and tone. This allows the audio propagation to adapt to different speaking styles and conditions, effectively mimicking real-world communication where voice characteristics determine who can hear the speaker.
Solution Approach 2:
The system implements a feedback loop where voice parameters are continuously analyzed and used to adjust acoustic parameters in real-time. This closed-loop control enables the system to respond naturally to changes in speaker behavior and environment, creating more realistic communication dynamics.
2Adaptability or versatility
If the system analyzes voice parameters and dynamically adjusts acoustic parameters in real-time, then natural conversation is enabled, but computational burden increases
Solution Approach 1:
The system performs partial analysis of voice parameters, focusing on the most relevant characteristics (loudness, pitch, tone) rather than comprehensive audio analysis. This selective approach enables natural conversation capability while reducing unnecessary computational overhead and energy consumption.
Solution Approach 2:
The system pre-establishes relationships between voice parameters and acoustic parameters, allowing for faster real-time adjustments. By preparing parameter mappings and adjustment rules in advance, the system reduces the computational burden during actual conversation.
3Reliability
If voice parameter analysis is performed to control audio propagation, then communication realism is improved, but measurement and detection difficulty increases
Solution Approach 1:
The system replaces complex manual analysis of voice parameters with automated digital signal processing and machine learning algorithms. This substitution enables reliable extraction of voice characteristics (loudness, pitch, tone) without requiring manual measurement, thereby improving communication realism while managing detection complexity through computational methods.
Data Source
AI summary
Embodiments of the present disclosure can provide systems and methods for presenting audio signals based on an analysis of a voice of a speaker in an augmented reality or mixed reality environment. Methods according to embodiments of this disclosure can include receiving audio data from a microphone of a first wearable head device, the first wearable head device in communication with a virtual environment, the audio data comprising speech data. In some examples, the methods can include identifying a voice parameter based on the audio data. In some examples, the methods can include determining an acoustic parameter based on the voice parameter. In some examples, the methods can include applying the acoustic parameter to the audio data to generate a spatialized audio signal. In some examples, the methods can include presenting the spatialized audio signal to a second wearable head device in communication with the virtual environment.