Voice Assistant Controller Urgent Utterance Activation
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Solution Overview
Problem
Existing voice assistant activation technologies rely on detecting specific wake-up words, which may not suffice in situations where the urgency of activating the voice assistant is high, even without the wake-up word.
Innovation Solution
An information processing apparatus that includes a controller capable of activating a voice assistant function and outputting a response to an utterance, even if a keyword for activation is not detected, by setting predefined utterance conditions based on the content and urgency of the user's voice input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the voice assistant function is activated only upon detecting a wake-up word, then false activation is reduced, but urgent situations without wake-up words cannot be responded to timely
Solution Approach 1:
The system changes the activation parameter from requiring a specific wake-up word to monitoring multiple utterance parameters including volume, frequency, and content patterns. This allows the system to activate based on urgency indicators rather than fixed keywords, resolving the contradiction between activation accuracy and response speed.
Solution Approach 2:
The system dynamically adjusts activation thresholds based on contextual analysis of utterances. Instead of a static wake-up word requirement, the activation criteria adapt in real-time based on the urgency and characteristics of detected speech, enabling both accurate activation and rapid response to urgent situations.
2Measurement precision
If the system monitors all utterances continuously to detect urgent situations, then response accuracy improves, but processing load and power consumption increase
Solution Approach 1:
The system performs partial monitoring by focusing computational resources only on utterances that exhibit characteristics of urgency, such as elevated volume or specific keyword patterns. This selective approach maintains high detection accuracy while avoiding the energy cost of analyzing every utterance in detail.
Solution Approach 2:
The voice monitoring system is segmented into multiple processing stages: initial filtering based on simple criteria, intermediate analysis of potentially urgent utterances, and detailed processing only for high-priority cases. This hierarchical segmentation reduces overall computational load and power consumption while maintaining detection accuracy.
Data Source
AI summary
An information processing apparatus includes a controller. Upon detecting an utterance that satisfies an utterance condition set in advance, the controller activates a voice assistant function and outputs a response to a content of the utterance, even if a keyword for activating the voice assistant function is not detected.