Verbal Response Code Training for Event Notification Systems
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Solution Overview
Problem
Event notification systems in healthcare environments require complex and costly speech-to-text conversion and text recognition capabilities for verbal responses to alert messages, increasing the complexity and cost of mobile communication devices and the systems they communicate with.
Innovation Solution
Implementing a training mode in mobile communication devices that associates verbal or audible responses with assigned alert message response codes, allowing for simplified data channel communication and eliminating the need for voice-to-text conversion, enabling efficient and cost-effective response handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech-to-text conversion and text recognition capabilities are implemented for verbal responses, then response accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent extracts the speech-to-text conversion function from the mobile device and relocates it to the event notification system server. The mobile device only captures verbal responses and transmits them as audio data, while the server performs the complex speech recognition and code assignment. This extraction resolves the contradiction by maintaining response accuracy through server-side processing while significantly reducing device complexity and cost.
Solution Approach 2:
The patent introduces an intermediary training phase where pre-recorded verbal responses are associated with response codes in advance. During actual use, the system compares captured verbal responses against this trained database of responses rather than performing real-time speech-to-text conversion. This intermediary training mechanism maintains high response accuracy while avoiding the need for complex real-time speech recognition capabilities in the mobile device.
2Ease of operation
If speech-to-text conversion capabilities are implemented, then verbal response handling is improved, but system cost increases
Solution Approach 1:
The patent extracts the expensive speech-to-text conversion capability from the mobile device and places it in the event notification system server, which is a shared resource. This allows multiple users to benefit from the same speech recognition infrastructure, significantly reducing the cost per user while maintaining ease of verbal response handling.
Solution Approach 2:
The patent implements a training phase where verbal responses are pre-recorded and associated with response codes before actual use. This preliminary action creates a database of known responses that can be quickly matched during operation, eliminating the need for expensive real-time speech-to-text conversion while maintaining ease of verbal response handling through simple audio matching.
3Productivity
If real-time speech-to-text conversion is performed, then response processing speed is improved, but device complexity and cost increase
Solution Approach 1:
The patent performs speech recognition training in advance, creating a database of pre-processed verbal responses and their corresponding codes. During actual response handling, the system simply compares the captured audio against this pre-trained database, achieving fast response processing speeds without requiring complex real-time speech-to-text conversion capabilities in the mobile device.
Solution Approach 2:
The patent extracts the computationally intensive speech-to-text conversion process from the mobile device and relocates it to the server environment, which has superior processing capabilities. This allows the mobile device to maintain simplicity while the server handles the complex processing, achieving fast overall response processing without burdening the mobile device with complex hardware.
Data Source
AI summary
A mobile communication device (FOB) attached to a user operates on sound information utter by the user to respond to alert messages sent to it by an event notification system (ENS). The FOB is able to transition between a training mode and a normal mode of operation. In the training mode of operation, the FOB can detect and store sound information associated with a user's response to a training alert message. The sound information in the user response to the training alert message is associated with a response code that the user is prompted to enter into the FOB during the training process. In the normal mode of operation, the user can respond to an alert message played by the FOB with a verbal utterance, and the FOB generates and sends a response message to the ENS that includes the response code associated with the training verbal response.