Mobile Agent Speech Recognition Model Adaptation
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Solution Overview
Problem
Existing speech recognition devices face accuracy deterioration due to varying environmental factors such as ambient noise and space types, which current methods fail to effectively mitigate.
Innovation Solution
A method and apparatus that utilize a mobile agent to obtain real-time space type information, adjust speech recognition model parameters based on this information, and perform adaptive speech recognition services by incorporating AI learning and communication with a 5G network to maintain service reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If speech recognition models use fixed parameters, then device complexity is reduced, but speech recognition accuracy deteriorates in varying environmental conditions
Solution Approach 1:
The patent implements dynamic parameter adjustment by continuously updating speech recognition model parameters based on real-time environmental sensing data. The system transitions from static fixed parameters to dynamic adaptive parameters that change according to ambient noise levels, space type, and other environmental factors detected by sensors.
Solution Approach 2:
The system performs self-adaptation by automatically adjusting its own speech recognition parameters based on environmental conditions without external intervention. The mobile agent autonomously senses the environment, determines appropriate parameter adjustments, and updates the model accordingly, enabling the system to serve itself in adapting to changing conditions.
2Reliability
If speech recognition models adapt to different space types, then speech recognition accuracy improves, but device complexity increases
Solution Approach 1:
The patent applies local quality by tailoring speech recognition parameters specifically to different space types (e.g., indoor, outdoor, noisy environments). Instead of using a single universal model, the system adjusts parameters locally according to the detected space characteristics, optimizing recognition accuracy for each specific environment.
Solution Approach 2:
The system changes model parameters based on space type classification. When the mobile agent detects a change in environment (e.g., from indoor to outdoor), it retrieves or adjusts parameters appropriate for the new space type, thereby adapting the speech recognition model to local conditions through parameter modification.
3Reliability
If real-time parameter adjustment is implemented, then speech recognition reliability improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing environmental data and pre-determining appropriate parameter adjustments before speech recognition is critically needed. The mobile agent continuously monitors environmental conditions and proactively adjusts parameters in anticipation of speech input, reducing actual processing time during critical recognition moments.
Solution Approach 2:
The patent implements continuous environmental monitoring and continuous parameter adjustment, eliminating idle time between adjustments. The system maintains uninterrupted adaptation by continuously sensing environmental changes and continuously updating model parameters, ensuring speech recognition reliability without significant time loss.
Data Source
AI summary
According to an embodiment of the present disclosure, a method of updating a speech recognition model using a mobile agent in real-time comprises obtaining, in real-time, space type information for a particular space where the mobile agent is located, varying, in real-time, parameters of a speech recognition model used in the particular space based on the space type information, and performing a speech recognition service based on the speech recognition model including the varied parameters. Embodiments of the present disclosure may be related to artificial intelligence (AI) devices, unmanned aerial vehicles (UAVs), robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.