Localized Voice Command Processing for Private Device Control
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Solution Overview
Problem
Existing digital assistants face privacy concerns due to cloud-based processing of voice data, limited local processing capacity, and the need for wake words, which can detract from user experience and limit device interaction flexibility.
Innovation Solution
A system that analyzes device state information to predict voice commands and intended devices within a localized network, leveraging interconnected devices for collective voice processing, maintaining knowledge graphs, and updating them dynamically to minimize resource use and eliminate the need for wake words.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If voice data is sent to cloud server for processing, then processing capability is improved, but privacy security deteriorates
Solution Approach 1:
The system segments voice processing into two parts: local device state analysis (privacy-sensitive) and cloud-based command prediction (computationally intensive). Local devices process only necessary state information to determine prediction context, while cloud servers handle the heavy lifting of generating predicted commands based on aggregated data, thus balancing privacy and processing capability
Solution Approach 2:
The patent introduces an intermediary layer of device state information aggregation and prediction mechanisms that mediate between local privacy constraints and cloud processing capabilities. This intermediary layer processes voice data locally to the extent necessary for prediction while maintaining privacy, then communicates only essential prediction parameters to cloud servers
2Object-affected harmful factors
If local processing is used, then privacy security is improved, but processing capacity deteriorates
Solution Approach 1:
The system performs partial processing locally by analyzing only the necessary device state information (audio characteristics, operational status, usage patterns) required for prediction rather than processing all voice data comprehensively. This partial local action maintains privacy while the cloud provides additional processing capacity when needed
Solution Approach 2:
The patent implements preliminary action by pre-processing and analyzing device state information locally to establish prediction models and patterns before actual voice commands are received. This preliminary local analysis builds up contextual understanding that reduces the need for extensive real-time processing while maintaining privacy
3Measurement precision
If wake word is required for activation, then device control precision is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs preliminary analysis of device state information continuously to predict upcoming voice commands before the user actually speaks. By anticipating commands based on patterns in device usage, audio characteristics, and operational context, the system prepares appropriate responses in advance, eliminating the need for wake words while maintaining precise device control
Solution Approach 2:
The patent employs feedback mechanisms where the system continuously monitors device state information, analyzes patterns, and adjusts predictions based on actual user behavior. This feedback loop allows the system to refine its command predictions over time, improving accuracy while maintaining ease of operation without wake words
4Device complexity
If limited local processing is used, then device complexity is reduced, but productivity deteriorates
Solution Approach 1:
The patent makes device state information analysis serve multiple functions: it simultaneously enables command prediction, determines target devices, identifies audio characteristics, and establishes usage patterns. This multi-functionality approach increases productivity by leveraging a single local processing capability for multiple purposes rather than requiring separate specialized systems
Data Source
AI summary
Systems and methods are described for causing a device to perform an action based on a voice command. Devices connected to a localized network and capable of performing one or more actions based on one or more voice inputs may be identified, and device state information for each of the devices may be determined. The systems and methods may determine, based at least in part on the device state information, a predicted voice command, and a particular device of the plurality of devices for which the predicted voice command is intended. A voice input may be received, and based on receiving the voice input, the particular device may be caused to perform an action related to the predicted voice command.


