Voice Message Recognition for Reliable Recipient Delivery
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Solution Overview
Problem
Robots struggle to reliably deliver messages to specific third parties as they cannot always recognize the intended recipient, leading to uncertainty in message delivery.
Innovation Solution
An information processing apparatus and method that acquires and analyzes sound messages to recognize senders and message destinations, generating input information for unspecified destinations, using face and voice recognition, and prompting users for clarification when necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot uses simple message delivery without advanced recognition, then the device complexity is reduced, but the reliability of message delivery to the intended third party deteriorates
Solution Approach 1:
The recognition system is divided into separate functional modules: face recognition unit, voice recognition unit, and message routing unit. Each module handles a specific aspect of the recognition process, allowing the system to achieve high reliability through specialized processing while maintaining manageable complexity through modular architecture.
Solution Approach 2:
The robot introduces an intermediary processing layer that receives raw input data, processes it through multiple recognition stages, and produces structured output for message routing. This intermediary layer acts as a buffer between simple input and complex decision-making, improving reliability without requiring the entire system to be complex.
2Measurement precision
If the robot implements multiple recognition techniques (face and voice), then the accuracy of identifying senders and destinations improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The recognition system dynamically selects and adjusts the combination of face and voice recognition techniques based on the situation. For example, it may rely more on face recognition in well-lit environments and supplement with voice recognition when face recognition is uncertain, optimizing accuracy while adapting processing complexity to actual needs.
Solution Approach 2:
The system implements a two-stage recognition process where basic identification is achieved through one method (e.g., face recognition), and additional confirmation through another method (e.g., voice recognition) is applied only when needed. This partial application of multiple techniques maintains high accuracy while avoiding the excessive complexity of always using all recognition methods.
3Measurement precision
If the robot requests clarification when destination is unspecified, then the message delivery accuracy improves, but the loss of time increases due to additional user interaction
Solution Approach 1:
The system implements feedback loops where the robot analyzes recognition results, identifies cases where destination specification is insufficient, and automatically requests clarification only in those cases. This selective feedback mechanism ensures high message delivery accuracy while minimizing unnecessary user interactions that would waste time.
Solution Approach 2:
The robot performs self-assessment of the recognition quality and automatically determines whether clarification is needed. By using self-service logic to filter cases requiring user input, the system maintains high accuracy for clear cases without requiring user interaction, and only engages users when absolutely necessary, thus reducing overall time loss.
Data Source
AI summary
Provided is an information processing apparatus capable of reliably delivering a message to a third party desired by a user.Provided is an information processing apparatus including an acquisition unit configured to acquire information including a sound message, and a recognition unit configured to recognize a sender of the sound message, a destination of a message included is the sound message, and content of the message from the information acquired by the acquisition unit, in which the recognition unit generates information for inputting the destination of the message is a case where the destination cannot be uniquely specified.