Dynamic Wake Word Identification for Natural Voice Interaction
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Solution Overview
Problem
Electronic devices often require the use of permanent wake words, which can seem unnatural and cumbersome for users, as they typically omit names in subsequent queries, leading to unnatural conversation interactions.
Innovation Solution
An apparatus and method for dynamic wake word identification using a processor and microphone to identify temporary wake words based on initial responses and content tags, allowing for query recognition without the need for permanent wake words, enabling more natural user interactions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If permanent wake words are used for query recognition, then device can reliably identify user queries, but user interaction becomes unnatural and cumbersome
Solution Approach 1:
The system dynamically generates wake words based on previously identified content tags from responses. Instead of using a fixed permanent wake word, the wake word changes adaptively to reflect the current conversation context, making interactions more natural while maintaining reliable query recognition through context-aware identification
Solution Approach 2:
The system changes the parameter of the wake word itself based on conversation history and content tags. By transforming the wake word from a static permanent word to a dynamic context-dependent word, the system resolves the contradiction between reliable recognition and natural interaction
2Ease of operation
If temporary wake words are used without permanent wake words, then user interaction becomes more natural, but query identification may become less reliable
Solution Approach 1:
The system uses feedback from previously generated responses and identified content tags to dynamically determine subsequent wake words. This feedback mechanism ensures that temporary wake words are systematically derived from conversation context, maintaining reliability while enabling natural interactions without permanent wake words
Solution Approach 2:
The system performs preliminary analysis of response content to identify content tags before generating the next wake word. This preliminary action ensures that temporary wake words are pre-configured based on contextual analysis, maintaining query identification reliability while enabling natural user interaction
Data Source
AI summary
For dynamic wake word identification, a processor identifies a temporary wake word based on a first response. The processor further identifies one or more content tags from the first response. The processor identifies a second query in response to receiving the temporary wake word and a first content tag, without receiving a permanent wake word.