Audio Processing via Environmental Sensor Profiling
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Solution Overview
Problem
Existing information handling systems face challenges in accurately processing voice input due to varying acoustic environments, as they often rely on fixed assumptions and fail to adequately compensate for diverse environmental conditions.
Innovation Solution
An audio processing system that utilizes sensors to characterize environmental parameters such as shape, size, materials, occupants, quantity, location, and occlusions, enhancing audio inputs and outputs by accounting for these factors through real-time data processing and scene analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If fixed or assumption-based audio processing solutions are used, then the system is simple to implement, but it cannot adequately compensate for a wide range of environments
Solution Approach 1:
The system performs preliminary actions by capturing images of the environment before audio processing occurs. These images are used to pre-determine acoustic characteristics and generate appropriate processing parameters in advance, allowing the audio processing system to adapt to different environments without requiring complex real-time analysis during audio capture.
Solution Approach 2:
The patent introduces an intermediary approach by using image data as a mediator between the physical environment and the audio processing system. The images serve as an intermediate representation that captures environmental information, which is then processed to determine acoustic characteristics and guide audio processing parameters, bridging the gap between environmental variability and processing requirements.
2Measurement precision
If sensor profiling and scene analysis are performed, then acoustic characterization accuracy is improved, but processing time and computational resources increase
Solution Approach 1:
The system performs preliminary actions by capturing images of the environment before audio processing occurs. These images are used to pre-determine acoustic characteristics and generate appropriate processing parameters in advance, allowing the audio processing system to adapt to different environments without requiring complex real-time analysis during audio capture.
Solution Approach 2:
The patent applies partial action by selectively processing only the most relevant environmental features captured in images. Rather than analyzing every pixel and object in detail, the system identifies and processes key acoustic-relevant information (such as room geometry, material surfaces, and spatial layout) to achieve sufficient acoustic characterization without excessive computational overhead.
3Reliability
If real-time audio processing is performed, then audio quality is maintained, but the system cannot adequately compensate for varying acoustic environments
Solution Approach 1:
The system performs preliminary actions by capturing images of the environment before audio processing occurs. These images are used to pre-determine acoustic characteristics and generate appropriate processing parameters in advance, allowing the audio processing system to adapt to different environments without requiring complex real-time analysis during audio capture.
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously monitors the audio environment and compares it with the predicted acoustic characteristics derived from image analysis. When discrepancies are detected, the system adjusts processing parameters in real-time, creating a feedback loop that maintains audio quality while adapting to varying environmental conditions.
Data Source
AI summary
A system, method, and computer-readable medium for an audio processing system which compensates for environment parameters to enhance audio inputs and outputs of an information handling system. More specifically, in certain embodiments, the audio processing system accounts for environmental characteristics including some or all of shape, size, materials, occupant, quantity, location and occlusions.


