Home Appliance Voice Recognition via Server Offloading
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Solution Overview
Problem
Existing voice recognition systems for home appliances face limitations in recognizing natural language voice commands due to resource constraints and high computational requirements, leading to inefficiencies and increased chances of false recognition.
Innovation Solution
A method utilizing a voice recognition server system that offloads natural language processing from individual home appliances, using a network of servers for voice command recognition and processing, allowing home appliances to receive voice inputs and perform actions without the need for manual remote control manipulation, with features like feedback operations and audible guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If voice recognition processing is performed using embedded modules in individual home appliances, then the system can operate autonomously, but the computational resources required for natural language recognition cannot be adequately provided
Solution Approach 1:
A voice recognition server system acts as an intermediary between the user and the home appliance. The server performs the computationally intensive natural language recognition processing, while the home appliance simply transmits voice data and receives control signals. This resolves the contradiction by externalizing the computational burden to a server with sufficient processing power while maintaining autonomous operation of the appliance.
2Adaptability or versatility
If simple keyword recognition is used in home appliances, then system resources are conserved, but the ability to recognize various natural languages is limited
Solution Approach 1:
The voice recognition server serves as an intermediary that handles the complex natural language processing. The home appliance itself remains simple, only needing to transmit voice data and execute received commands. This allows the system to support various natural languages without increasing the complexity of the individual appliance.
3Measurement precision
If voice recognition processing is centralized in a server system, then natural language recognition capability is improved, but the system requires network communication infrastructure
Solution Approach 1:
The system is segmented into distinct functional components: the home appliance handles voice input and command execution, while the voice recognition server handles natural language processing. This segmentation allows each component to be optimized for its specific function, improving recognition accuracy while keeping the overall system architecture manageable through clear separation of concerns.
Data Source
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AI summary
Disclosed is a method for operating a home appliance, including: activating a voice recognition function; entering a wake-up signal standby mode for receiving a wake-up voice signal including a preset call word; receiving the wake-up voice signal via an audio input unit including one or more microphones; entering a command standby mode for receiving a user's voice command within a preset period of time; receiving a voice command via the audio input unit; and transmitting, to a voice recognition server system, voice data including a voice command received for the preset period of time and the call word. In doing so, it is possible to recognize a user's voice command more accurately.