Live Engine Audio Processing for Real-Time Spatial Soundscapes
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Solution Overview
Problem
Current audio production tools require extensive manual input and are impractical for live events where sound emitters and their characteristics are unknown, leading to errors and inaccuracies in creating complex audio soundscapes.
Innovation Solution
A media processing system that dynamically generates audio content by collecting real-time telemetry and non-telemetry data from live events, using sensors to determine sound emitter positions and actions, and integrating this data with pre-produced media assets to create immersive audio experiences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual audio production tools are used for live events, then audio quality can be controlled, but the process becomes extremely time-consuming and impractical
Solution Approach 1:
The system enables automatic audio production by having the computer system autonomously perform audio mixing, positioning, and effects processing without requiring manual intervention from audio engineers during live events. The system self-adjusts audio parameters based on real-time data from sensors and telemetry sources.
Solution Approach 2:
The patent replaces manual mechanical audio production processes with automated computer-based systems. Audio mixing, spatial positioning, and effects application are performed algorithmically using software rather than manual console operations, eliminating the time-consuming nature of traditional audio production.
2Ease of operation
If manual operations are transplanted to live events, then audio production can be performed, but errors and inaccuracies in timing and positioning are introduced
Solution Approach 1:
The system continuously receives real-time feedback from sensors, telemetry sources, and tracking systems to automatically adjust audio positioning and timing. This closed-loop feedback mechanism ensures accurate sound emitter positioning and synchronized audio playback without the errors associated with manual operations.
Solution Approach 2:
The patent introduces an automated computer system as an intermediary between the live event and the audio output. This intermediary processes sensor data, determines sound emitter positions, and controls audio reproduction, eliminating the human error inherent in manual audio production during live events.
3Adaptability or versatility
If manual audio production is used, then complex audio soundscapes can be created, but extensive manual intervention is required
Solution Approach 1:
The automated audio production system performs multiple functions including sound emitter detection, spatial positioning, audio mixing, effects processing, and real-time rendering through a single integrated computer system. This multi-functional approach creates complex audio soundscapes without requiring separate manual operations for each task.
Solution Approach 2:
The system automatically analyzes sensor data, identifies sound emitters, determines their positions, and generates appropriate audio soundscapes without human intervention. The automated process handles the complexity of creating immersive audio environments through algorithmic processing rather than manual configuration.
4Productivity
If automated systems are used for live events, then real-time audio production is achieved, but the system complexity increases
Solution Approach 1:
The automated audio production system is divided into distinct functional modules including sensor data acquisition, sound emitter detection, spatial positioning, audio processing, and output rendering. This modular segmentation allows real-time processing while managing system complexity through organized, independent components that can be developed and maintained separately.
Data Source
AI summary
Non-media data relating to real-world objects or persons are collected from a scene while media data from the same scene are collected. The media data comprise audio data only or audiovisual data, whereas the non-media data comprise telemetry data and/or non-telemetry data. Based at least in part on the non-media data relating to the real-world objects or persons in the scene, emitter-listener relationships between a listener and some or all of the real-world objects or persons are determined. Audio objects comprising audio content portions and non-audio data portions are generated. At least one audio object is generated based at least in part on the emitter-listener relationships.