Voice-Controlled Intelligent Device for Target User Identification
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Solution Overview
Problem
Existing intelligent devices lack the ability to distinguish between different users when issuing voice commands, leading to inappropriate service delivery and a poor user experience, as they typically assume the user who issued the instruction is the intended recipient of the service.
Innovation Solution
The intelligent device employs a method to determine the target serviced object by analyzing voice inputs, using techniques such as voice recognition, historical data, and AI algorithms to identify the intended recipient and tailor services accordingly, even if the user is not explicitly mentioned in the command.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If the intelligent device assumes the instruction issuer is the intended recipient of the service, then the device complexity is reduced, but the service accuracy deteriorates
Solution Approach 1:
The system performs preliminary voiceprint recognition and serviced object identification before executing the service instruction. By analyzing voice characteristics and comparing them with stored voiceprints of multiple family members, the system determines the actual intended recipient in advance, ensuring accurate service delivery without requiring complex real-time decision-making during service execution.
Solution Approach 2:
The system introduces an intermediary identification mechanism that acts as a mediator between the instruction issuer and the service execution. This intermediary layer analyzes voice inputs, identifies the serviced object through voiceprint matching, and determines the intended recipient, thereby resolving the ambiguity without significantly increasing overall system complexity.
2Ease of operation
If the intelligent device identifies the instruction issuer as the target serviced object, then the ease of operation is improved, but the user experience deteriorates
Solution Approach 1:
The system enables self-service through automatic voiceprint recognition and serviced object identification. When a user issues an instruction like 'play a song for Xiaohua,' the system automatically identifies the serviced object (Xiaohua) through voice analysis and delivers the service accordingly, without requiring manual configuration or complex user interactions to specify the target recipient.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing voice inputs and comparing them against stored voiceprints to identify the serviced object. This feedback loop ensures that the service is delivered to the correct person by continuously monitoring and adapting to the voice characteristics of different family members, thereby improving user experience while maintaining ease of operation.
3Device complexity
If the intelligent device does not distinguish between different serviced objects, then the device complexity is reduced, but the adaptability deteriorates
Solution Approach 1:
The system segments the service delivery process by identifying and distinguishing different serviced objects (e.g., different family members) based on voiceprint recognition. By dividing the user base into individually identifiable segments, the system can tailor services to each person's preferences and characteristics, enhancing adaptability without requiring a complete redesign of the core device architecture.
Solution Approach 2:
The system performs preliminary identification of the serviced object by analyzing voice characteristics and matching them with stored voiceprints before delivering the service. This preliminary action enables the device to adapt to different users' needs and preferences automatically, improving versatility while maintaining relatively simple operational procedures.
Data Source
AI summary
The disclosure provides a method for controlling an intelligent device and an intelligent device. The method comprises: receiving a voice input; determining a service instruction based on the received voice input; determining a target serviced object for which the service instruction is intended; determining a target execution element of the service instruction based on the target serviced object; and controlling the intelligent device to perform an action corresponding to the service instruction based on the target execution element. In addition, the process of determining the target serviced object for which the service instruction is intended may be performed based on an artificial intelligence model.