Privacy Blocker for Smart Speakers Using Local Audio Processing
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Solution Overview
Problem
The increasing prevalence of microphones in computer devices for voice control poses significant privacy risks, as these devices often listen and send data perpetually, leading to undesirable trade-offs between convenience and privacy, with users often unaware when they are being listened to.
Innovation Solution
A privacy blocker system that intercepts and modifies audio and video data from microphones and cameras, using triggers to control data transmission, preventing unauthorized listening by generating noise or soundproofing, and integrating with listening devices to manage data access securely.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If listening devices continuously monitor and transmit audio data, then voice control functionality is improved, but user privacy is compromised
Solution Approach 1:
The system performs preliminary local processing of audio data before transmission. Audio commands are processed by local machine learning models to identify intent and extract parameters, with only essential information transmitted to the server. This preliminary action at the edge device reduces privacy risks by minimizing raw audio data transmission while maintaining voice control functionality.
Solution Approach 2:
The patent introduces an intermediary layer between the microphone and the server - a local processing unit that acts as a mediator. This intermediary processes audio data locally, filters out unnecessary information, and transmits only processed results to the server, thereby protecting user privacy while preserving the core voice control functionality.
2Measurement precision
If audio data is transmitted perpetually to servers, then processing accuracy is improved, but data security risks increase
Solution Approach 1:
The system extracts only the essential features and parameters from raw audio data for transmission to servers. Local processing models extract intent, entities, and command parameters, transmitting only these structured data elements rather than perpetually transmitting raw audio streams, thereby reducing data security risks while maintaining processing accuracy.
Solution Approach 2:
Preliminary processing and filtering of audio data occurs locally before transmission. The system performs initial analysis, noise filtering, and feature extraction at the edge device, sending only processed results to servers. This preliminary action ensures processing accuracy is maintained while minimizing data security risks by reducing the volume and sensitivity of transmitted data.
3Speed
If devices constantly listen for wake words, then responsiveness is improved, but unauthorized listening concerns increase
Solution Approach 1:
The system implements local quality processing by running specialized wake word detection models locally on the device rather than transmitting all audio to the cloud. This local processing enables rapid wake word recognition for responsive activation while preventing unauthorized listening by keeping constant monitoring data processing local to the device.
Solution Approach 2:
Wake word detection is performed as a preliminary action locally on the device before any audio data is transmitted to servers. The local model continuously monitors for wake words with high speed, and only when detected does the system activate full processing modes and transmit audio data, thereby maintaining responsiveness while preventing unauthorized continuous listening and transmission.
Data Source
AI summary
Systems, apparatuses, and methods are described for a privacy blocking device configured to prevent receipt, by a listening device, of video and/or audio data until a trigger occurs. A blocker may be configured to prevent receipt of video and/or audio data by one or more microphones and/or one or more cameras of a listening device. The blocker may use the one or more microphones, the one or more cameras, and/or one or more second microphones and/or one or more second cameras to monitor for a trigger. The blocker may process the data. Upon detecting the trigger, the blocker may transmit data to the listening device. For example, the blocker may transmit all or a part of a spoken phrase to the listening device.