Electronic device and method for speech recognition of the same
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Solution Overview
Problem
Existing speech recognition systems face challenges in maintaining high accuracy due to noise interference from both the environment and the devices themselves, which can vary with operation states, leading to reduced performance and user convenience.
Innovation Solution
An electronic device equipped with a microphone, memory for storing multiple speech recognition models, and a processor that dynamically selects and adjusts the appropriate speech recognition model based on the device's operation state, noise patterns, and user intention to enhance recognition accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single speech recognition model is used, then device complexity is reduced, but speech recognition accuracy deteriorates in varying noise environments
Solution Approach 1:
The system dynamically selects speech recognition models based on real-time operation states of the electronic device. Different models are activated according to different operation modes (e.g., cleaning mode, charging mode, standby mode), allowing the system to adapt to varying noise environments without permanently increasing structural complexity
Solution Approach 2:
The system changes the parameter of model selection based on operation state parameters. By monitoring operation state changes and selecting appropriate models from a pre-stored set, the system achieves adaptive speech recognition without requiring a completely complex real-time processing mechanism
2Measurement precision
If multiple speech recognition models are stored, then speech recognition accuracy in varying environments is improved, but memory usage and device complexity increase
Solution Approach 1:
Different speech recognition models with specialized characteristics are stored for different operation states. Each model is optimized for specific noise conditions (e.g., high noise for cleaning mode, low noise for standby mode), allowing the system to use locally optimized models rather than a single general-purpose model
Solution Approach 2:
Multiple speech recognition models are pre-stored in the memory before runtime. The processor selects from these pre-prepared models based on current operation state, avoiding the need for real-time model generation or complex on-the-fly adaptation
3Reliability
If speech recognition model is not adapted to operation state, then device operation is simpler, but speech recognition performance deteriorates due to noise interference
Solution Approach 1:
The system establishes a feedback loop where the processor continuously monitors the operation state of the electronic device and adjusts the selected speech recognition model accordingly. This automatic feedback mechanism improves reliability without requiring complex manual intervention or user configuration
Data Source
AI summary
An electronic device for recognizing a user's speech and a speech recognition method therefor are provided. The electronic device includes a microphone configured to receive a user's speech, a memory for storing speech recognition models, and at least one processor configured to select a speech recognition model from among the speech recognition models stored in the memory based on an operation state of the electronic device, and recognize the user's speech received by the microphone based on the selected speech recognition model.