Speech Message Parser for Automated Reminder Transmission
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Solution Overview
Problem
Existing message transmission systems require users to input specific information such as recipient, date, time, and message details, which can lead to missed messages due to user error or location restrictions, particularly in home care scenarios where timely reminders are crucial.
Innovation Solution
A system and method that uses a command or message parser to extract tag information from natural speech dialogue, including reminder ID, command, and message, and a transmitting controller to send messages based on predefined conditions, ensuring timely and accurate delivery to the intended recipient.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users input message information according to predefined rules, then message transmission can be achieved, but user operation complexity increases and error probability rises
Solution Approach 1:
The system automatically analyzes speech content to extract message information without requiring users to follow predefined input rules. The speech analysis module autonomously identifies recipient, time, location, and message content, making the system self-sufficient in information extraction and eliminating complex user input requirements.
Solution Approach 2:
The patent replaces manual information input (mechanical operation) with automated speech recognition and analysis. Instead of users manually filling in message details according to rules, the system uses speech-to-text conversion and natural language processing to automatically extract and structure message information.
2Productivity
If speech recognition is used to input messages, then input speed improves, but message accuracy decreases due to recognition errors
Solution Approach 1:
The system employs a feedback mechanism where the analyzed message information is displayed to users for confirmation. Users can review the extracted message details and correct any recognition errors before final transmission, ensuring both speed and accuracy in message input.
Solution Approach 2:
The patent introduces an intermediary verification step between speech recognition and message transmission. The speech analysis module acts as a mediator that not only converts speech to text but also structures and validates the extracted information, providing a buffer that allows error correction while maintaining fast input speed.
3Reliability
If location-based notification is implemented, then message delivery accuracy improves, but system complexity increases due to location detection requirements
Solution Approach 1:
The system integrates location detection functionality into the existing speech-based message system, making the location feature universally applicable to all message transmissions. The location module works seamlessly with the speech analysis and message transmission components, providing location-based delivery without requiring separate specialized systems.
Solution Approach 2:
The patent merges location detection with speech-based message input by analyzing spatial context from speech content. Instead of requiring separate location input devices, the system combines location information extraction with speech message analysis, integrating multiple functions into a unified message transmission process.
4Reliability
If comprehensive message information is collected, then message transmission reliability improves, but information processing time increases
Solution Approach 1:
The system performs preliminary speech-to-text conversion and information extraction during the speech input phase itself, rather than processing all information after complete message collection. By pre-processing speech content and extracting key message elements in real-time, the system reduces subsequent processing time while ensuring comprehensive information is captured for reliable transmission.
Data Source
AI summary
A system for leaving and transmitting speech messages automatically analyzes input speech of at least a reminder, fetches a plurality of tag informations, and transmits speech message to at least a message receiver, according to the transmit criterions of the reminder. A command or message parser parses the tag informations at least including at least a reminder ID, at least a transmitted command and at least a speech message. The tag informations are sent to a message composer for being synthesized into a transmitted message. A transmitting controller controls a device switch according to the reminder ID and the transmitted command, to allow the transmitted message send to the message receiver via a transmitting device.