Connected Lighting Voice Recognition for Noise-Adaptive Commands
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Solution Overview
Problem
Speech-based home automation devices struggle with accurately processing voice commands due to background noise, direction, angle, posture, and speaker characteristics, leading to inaccurate input signal processing.
Innovation Solution
A connected lighting system with integrated sensors, such as PIR and thermopile sensors, collects data on user position, orientation, and environmental conditions to enhance voice recognition by tuning voice processing algorithms and improving signal processing techniques like noise cancellation and beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If voice-based home automation devices rely solely on sound input, then the device structure remains simple, but voice recognition accuracy deteriorates in noisy or challenging acoustic environments
Solution Approach 1:
The patent combines multiple sensing modalities (acoustic sensors, optical sensors, thermal sensors, motion sensors) into an integrated home automation system. The controller fuses data from these diverse sensors to improve voice command recognition accuracy while maintaining manageable system complexity through unified processing.
Solution Approach 2:
The patent introduces a controller as an intermediary that processes and fuses data from multiple sensors before generating control signals. This intermediary layer coordinates the complex interactions between different sensor types and the home automation functions, making the overall system more manageable.
2Measurement precision
If sensors are added to enhance voice recognition, then voice command accuracy improves, but the lighting system complexity increases
Solution Approach 1:
The patent designs the lighting system to serve multiple functions: providing illumination, enhancing voice recognition through integrated sensors, and participating in home automation control. This multi-functionality justifies the added complexity by delivering comprehensive value from a single integrated system.
Solution Approach 2:
The patent merges the lighting system with voice recognition and environmental sensing capabilities. By combining these functions into an integrated system rather than separate components, the patent reduces overall system complexity while achieving enhanced voice command interpretation accuracy.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the accuracy of voice command interpretation by localizing users, attenuating noise, and adapting to environmental conditions, thereby improving the performance of speech-based computing devices.
Implementation Method 1
The connected lighting system includes some integrated sensors for position, occupancy, and/or activity recognition. These can include PIR sensors
Implementation Method 2
These can include PIR sensors, microwave sensors, thermopile sensors, temperature and other embeddable light weight sensors
Data Source
AI summary
A method and system for augmenting processing of voice commands directed to speech-based computing device via a system that includes a connected lighting system and the speech-based computing device. The method includes collecting data related to a user or environmental condition in an area proximate to the speech-based computing device with the one or more sensors. One or more cues related to the user and/or local area or environment is determined from the collected data. A controller of the lighting system receives one or more parameters related to a sound input received by the speech-based computing device. The one or more parameters are updated with the user and/or environmental cues. The sound input is analyzed with the updated parameters to interpret an intended voice command from the sound input.