Voice Recognition Model Allocation Across Sub-Devices
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Solution Overview
Problem
Existing devices with voice recognition capabilities often require multiple resources to perform overlapping functions, leading to slower processing speeds due to resource allocation across these functions.
Innovation Solution
A main device controls the allocation of voice recognition models by determining the importance of functions across connected sub-devices, reallocating models to optimize resource usage and improve processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If each device performs multiple overlapping functions independently, then functional versatility is improved, but processing speed deteriorates due to resource allocation across multiple functions
Solution Approach 1:
The patent merges voice recognition model processing into a centralized main device that coordinates multiple sub-devices. The main device determines which sub-device performs each function based on importance levels, consolidating the decision-making and model management in one location while allowing sub-devices to focus on their designated functions, thus improving processing speed without sacrificing functional versatility
Solution Approach 2:
The main device serves as a universal coordinator that manages voice recognition models across multiple sub-devices with different functions. It determines function performance allocation based on importance information from multiple sources (device end, model end, scene end), enabling the system to maintain versatile functionality across different devices while optimizing resource allocation centrally
2Adaptability or versatility
If multiple voice recognition models are allocated across devices with overlapping functions, then functional coverage is improved, but resource efficiency deteriorates
Solution Approach 1:
The patent extracts the decision-making logic for voice recognition model allocation from individual sub-devices and places it in the main device. The main device extracts importance information from multiple sources (device end, model end, scene end) and determines which sub-device should perform each function, eliminating redundant model loading and processing across multiple devices while maintaining comprehensive functional coverage
Solution Approach 2:
The system dynamically changes the allocation parameters based on importance levels determined from multiple perspectives. The main device adjusts which sub-device performs which function by changing the active voice recognition model assignments based on real-time importance assessments, optimizing resource efficiency while maintaining functional coverage across different operating conditions
Data Source
AI summary
A main device is provided. The main device includes a memory storing function information and importance information of each function of a first sub-device, a communication interface connected to the first sub-device, and at least one processor configured to acquire the function information and importance information of each function of a second sub-device, determine whether at least one function performed by the first sub-device exists among a plurality of functions performed by the second sub-device, determine a device to perform the at least one function based on importance of the at least one function of the second sub-device and importance of the at least one function of the first sub-device, and transmit information on the device to perform the at least one function to the first sub-device and the second sub-device.