In-Vehicle Voice Control for Multi-Intent Command Execution
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Solution Overview
Problem
Existing in-vehicle information systems struggle to accurately determine a user's true intention from multiple operation instructions and objects within the same voice data, often missing or executing incorrect commands due to limitations in single-intention artificial intelligence voice interaction modules.
Innovation Solution
A method and system that collect voice data, perform voice recognition, and conduct semantic analysis to segment and combine slot information into multiple control instructions, enabling comprehensive and accurate execution of user intentions through a cloud-based data processing terminal and in-vehicle information terminal collaboration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single-intention voice interaction module is used, then the system structure remains simple, but the system cannot accurately determine user intention when multiple operation instructions are contained in one voice data
Solution Approach 1:
The patent segments the voice data processing into multiple independent modules: voice data reception module, semantic analysis module, slot information extraction module, instruction segmentation module, and execution module. Each module handles a specific aspect of the processing, allowing the system to accurately identify multiple intentions within a single voice command while maintaining clear functional boundaries that prevent excessive complexity
2Loss of information
If voice data is processed to identify multiple intentions, then user intention understanding improves, but processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary semantic analysis and slot information extraction to identify all potential intentions before final instruction generation. By pre-processing the voice data to extract structured slot information and identify multiple intentions in advance, the system reduces the time required for actual instruction execution while ensuring no intention information is lost
3Productivity
If multiple control instructions are generated from single voice data, then interaction efficiency improves, but the risk of incorrect command execution increases
Solution Approach 1:
The patent implements a feedback mechanism where the system generates multiple control instructions from single voice data, executes them sequentially, and monitors execution results. The feedback from each execution step allows the system to verify correctness and adjust subsequent instructions if needed, ensuring high reliability while maintaining efficient multi-intention processing
Data Source
AI summary
A method of controlling an in-vehicle information system includes collecting voice data of a user; performing voice recognition on the collected voice data to obtain corresponding speech information; performing semantic analysis to obtain multiple pieces of slot information; segmenting and combining the multiple pieces of slot information into multiple control instructions based on preset combination configuration information; and sequentially executing the multiple control instructions.