Wireless Device Activation via Keyword Spotting and Identification Verification
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Solution Overview
Problem
Existing wireless communication devices face challenges in efficiently activating multiple devices using speech or voice commands, particularly in scenarios where multiple devices are co-located, leading to high false alarm rates, reduced battery life, and potential security threats, especially in environments like first responder networks.
Innovation Solution
Implementing a word spotting algorithm in a low power mode to detect a keyword sequence, followed by identification algorithms in a higher power mode to verify device activation, which can include speech, voice, and visual recognition, ensuring reliable activation only when multiple verification methods confirm the intended device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple wireless communication devices are left in an 'open microphone' configuration to enable easy activation, then ease of operation is improved, but false alarm rate increases and battery life is reduced
Solution Approach 1:
The activation process is segmented into multiple independent stages: keyword detection stage and identification verification stage. The keyword detector listens continuously for wake words, but full device activation only occurs after additional identification verification (voice recognition, speech recognition, or image recognition). This segmentation allows the system to maintain readiness without being fully active, reducing false alarms while preserving ease of activation.
Solution Approach 2:
The system performs preliminary keyword detection before full activation. The keyword detector operates in a low-power state, continuously monitoring for wake words. When a keyword is detected, the system then performs additional identification verification before activating the device. This preliminary action filters out false alarms while maintaining quick response to legitimate activation requests.
2Ease of operation
If multiple wireless communication devices are left in an 'open microphone' configuration to enable easy activation, then ease of operation is improved, but battery life is reduced
Solution Approach 1:
The system segments power consumption across different operational stages. The keyword detector operates in a low-power mode continuously, but full device activation (which consumes more battery) only occurs after successful identification verification. This segmentation allows the device to maintain activation readiness with minimal power consumption, significantly extending battery life while preserving ease of activation.
Solution Approach 2:
The system uses periodic keyword detection followed by conditional full activation. Instead of maintaining continuous full-power operation, the device periodically checks for keywords in a low-power state and only transitions to full activation when necessary. This periodic action pattern dramatically reduces average power consumption while maintaining responsive activation capability.
3Productivity
If keyword detection is performed without additional verification to enable quick activation, then productivity is improved, but security is compromised
Solution Approach 1:
The activation process is segmented into two distinct phases: a fast keyword detection phase that provides quick response, and a security verification phase that ensures authorized activation. The keyword detector operates independently and quickly, but device activation is gated behind additional verification steps (voice recognition, speech recognition, or image recognition). This segmentation maintains productivity by keeping the keyword detector always-ready while enhancing security through multi-factor verification.
Solution Approach 2:
The system introduces an intermediary verification step between keyword detection and device activation. Instead of directly activating the device upon keyword detection, the system requires additional identification verification (voice print matching, speech content verification, or facial recognition). This intermediary layer acts as a security gate that maintains quick response times while preventing unauthorized activation.
4Reliability
If multiple verification algorithms are implemented to ensure reliable activation, then reliability is improved, but device complexity increases
Solution Approach 1:
The verification system is segmented into modular, independent algorithms: voice recognition module, speech recognition module, and image recognition module. Each module operates independently and can be selectively activated based on the detection scenario. This modular segmentation reduces overall system complexity by allowing selective deployment of verification methods rather than requiring all algorithms to run simultaneously, while maintaining high reliability through multi-algorithm verification capability.
Data Source
AI summary
An apparatus, method, and computer program for initiating a word spotting algorithm (220) on one or more wireless communication devices in a first power mode to detect a keyword data sequence (224) embedded within a sampled audio signal (222). In response to detecting the keyword data sequence (226), the word spotting algorithm is terminated and a plurality of identification algorithms (230) consisting of speech, voice, image recognition and a predetermined isolation time criterion are initiated on the one or more wireless communication devices operating in a second power mode to detect the presence of identification data (240). If identification data is detected on a particular wireless communication device it is activated to accept speech and/or voice commands (242). On the other hand, if identification data is not detected, the plurality of identification algorithms are terminated, and the word spotting algorithm is reinitiated on the one or more wireless communication devices that are then operating in the first power mode (244).