Speech Communication System Keyword Context Display
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Solution Overview
Problem
Knowledge workers face challenges in effectively preparing for and participating in multiple teleconferences due to lack of support from existing speech communication systems, leading to distractions and inefficiencies during discussions.
Innovation Solution
A speech communication system that transcribes real-time speech, identifies and defines keywords, calculates trustworthiness factors, and displays relevant information to users, enhancing contextual understanding and minimizing cognitive effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If knowledge workers use unstructured procedures to retrieve additional information during speech communication, then they can access more data from data repositories, but their attention becomes heavily distracted from the main issue of the speech communication
Solution Approach 1:
The system performs preliminary actions by automatically transcribing the speech communication and identifying keywords before the user needs to access information. The transcription and keyword extraction are done in advance, so when the user needs information, it is already prepared and can be retrieved with minimal distraction from the main communication topic.
Solution Approach 2:
The system introduces an intermediary layer between the user and the data repositories. Instead of users directly searching through extensive data repositories, the system acts as an intermediary that processes the speech, identifies relevant keywords, and retrieves only the necessary information, thereby reducing the cognitive load and distraction on users.
2Reliability
If knowledge workers search for additional information during teleconference, then they can prepare better for discussions, but the communication efficiency decreases due to distractions
Solution Approach 1:
The system provides self-service by automatically performing the information retrieval and preparation tasks without requiring active user participation. The system transcribes the speech, identifies keywords, searches for relevant information, and presents it to the user, allowing the user to maintain focus on the communication while still benefiting from prepared information.
Solution Approach 2:
The system implements feedback by continuously monitoring the speech communication, identifying keywords in real-time, and providing relevant information back to the user during or after the communication. This feedback loop ensures that users receive tailored information that enhances their preparation without requiring them to divert attention from the main discussion.
3Reliability
If the system provides extensive information and context during speech communication, then the knowledge worker receives maximum support, but the system complexity increases
Solution Approach 1:
The system applies local quality by providing information and context only where and when it is most relevant. Instead of overwhelming the user with all available data, the system locally processes the speech to identify specific keywords and retrieves only the pertinent information related to those keywords, thereby maintaining high support quality while managing system complexity through targeted processing.
Solution Approach 2:
The system changes parameters dynamically by adjusting the level of information provision based on the speech content and context. The system analyzes the speech in real-time and modifies its information retrieval and presentation parameters accordingly, providing maximum support for relevant topics while avoiding unnecessary complexity for less relevant areas.
Data Source
AI summary
A speech communication system and a method of improving communication in such a speech communication system between at least a first user and a second user may be configured so the system (a) transcribes a recorded portion of a speech communication between the at least first and second user to form a transcribed portion, (b) selects and marks at least one of the words of the transcribed portion which is considered to be a keyword of the speech communication, (c) performs a search for each keyword and produces at least one definition for each keyword, (d) calculates a trustworthiness factor for each keyword, each trustworthiness factor indicating a calculated validity of the respective definition(s), and (e) displays the transcribed portion as well as each of the keywords together with the respective definition and the trustworthiness factor thereof to at least one of the first user and the second user.