Multi-Body Voice Recognition Coordination in Noisy Environments
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Solution Overview
Problem
In environments where multiple operation bodies perform voice recognition processes, sharing recognition results between them is challenging due to differences in voice dictionaries and noise interference, leading to reduced accuracy and suitability of operations.
Innovation Solution
An information processing apparatus and method that controls operations of operation bodies based on voice recognition results, allowing one operation body to control another based on voice data or sensor information, enabling improved operation suitability through voice recognition result sharing and environment adaptation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If voice recognition results are shared across multiple operation bodies, then operation suitability is improved, but recognition accuracy deteriorates due to noise interference and dictionary differences
Solution Approach 1:
The system segments the voice recognition process by allowing each operation body to perform independent voice recognition using its own voice dictionary, while the control section selectively shares only relevant recognition results between operation bodies. This segmentation maintains recognition accuracy for each body while enabling operational coordination.
Solution Approach 2:
The control section acts as an intermediary that receives voice recognition results from one operation body, evaluates their relevance to other operation bodies, and selectively transmits useful information. This intermediary function filters out noisy or irrelevant recognition results, maintaining accuracy while enabling cooperation.
2Measurement precision
If each operation body uses its own voice dictionary for recognition, then recognition accuracy is maintained, but operation coordination becomes difficult
Solution Approach 1:
The control section provides universal coordination functionality across multiple operation bodies with different voice dictionaries. It translates and shares recognition results between bodies, enabling coordinated operations despite dictionary differences, while each body maintains its specialized recognition capabilities.
Solution Approach 2:
The system implements feedback loops where recognition results from one operation body are shared with others, and the control section continuously monitors and adjusts which results are shared based on current operational context. This feedback mechanism enables dynamic coordination while preserving individual recognition accuracy.
3Ease of operation
If noise sources are not controlled, then operation bodies can operate independently, but voice recognition accuracy decreases due to noise interference
Solution Approach 1:
The control section monitors the operational states of all operation bodies and uses this feedback to determine when to lower sound volumes. When noise sources are detected to be interfering with voice recognition, the control section adjusts volumes dynamically, maintaining both independent operation capability and recognition accuracy.
Solution Approach 2:
The system dynamically adjusts the sound volumes of operation bodies based on real-time recognition needs and operational contexts. Rather than fixed volume levels, the control section modifies volumes adaptively to balance independent operation with recognition accuracy, lowering volumes only when necessary for accurate voice recognition.
Data Source
AI summary
Provided is an information processing apparatus including a control section that controls operations of operation bodies in accordance with a result of a voice recognition process. In accordance with a result of a voice recognition process that is based on a voice collected by one of the operation bodies or a voice recognition environment recognized from sensor information collected by one of the operation bodies, the control section controls an operation of another one of the operation bodies.