Voice Recognition Typeahead for Conference List Capture
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Solution Overview
Problem
During web-based audio/video conference calls, participants face challenges in efficiently capturing and re-entering lists of items such as addresses and telephone numbers, which can lead to errors and divert attention from the speaker, as they need to manually transcribe and verify the information later.
Innovation Solution
A voice recognition-based system that captures lists of items as text data during calls and stores them for typeahead suggestions in connected devices, using voice recognition and natural language processing to identify and categorize the data, enabling autocompletion in relevant applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If participants manually transcribe lists of items during collaborative sessions, then information can be retained for later use, but attention is diverted from the speaker and errors may be introduced
Solution Approach 1:
The patent replaces the mechanical manual transcription process with an automated voice recognition system. The system captures speech during collaborative sessions, converts it to text, and stores it for later retrieval, eliminating the need for participants to manually write down information and thus keeping their attention on the speaker while maintaining accurate record-keeping
Solution Approach 2:
The system enables self-service by automatically capturing and storing conversation data without requiring active participant intervention. The voice recognition system operates autonomously to transcribe and save lists of items mentioned during discussions, allowing participants to focus on the conversation while the system handles the documentation independently
2Productivity
If participants manually re-enter information from notes, then data can be input into applications, but the process is tedious and requires constant verification
Solution Approach 1:
The system performs preliminary action by capturing and storing information during the collaborative session itself, rather than requiring later re-entry. The voice recognition system transcribes lists of items into structured text format and stores it in the application, so when the information is needed, it is already prepared and available for immediate use without manual transcription or verification
Solution Approach 2:
The system creates accurate copies of the spoken information in text format during the conversation. The voice recognition system generates a textual copy of the lists mentioned by participants and stores it in the application, eliminating the need for manual copying and verification later, thus speeding up the data entry process and reducing time loss
3Extent of automation
If voice recognition is used to capture lists of items, then automated transcription is achieved, but system complexity increases
Solution Approach 1:
The patent applies universality by integrating multiple functions into a single system. The application combines collaborative session management, voice recognition integration, automatic transcription, text storage, and data retrieval capabilities. This multi-functional approach automates information capture while managing system complexity through unified architecture rather than separate independent components
Data Source
AI summary
Techniques for providing voice to text generated typeahead suggestions for lists of items from voice data are provided. In one aspect, a method for providing typeahead includes: identifying lists of items captured as text from voice data on a Voice Over Internet Protocol connection using voice recognition and natural language processing; and storing the lists of items in memory thereby enabling the typeahead of the lists of items on one or more electronic devices. Further, a suggested application can be provided, and the lists of items are then autocompleted on the one or more electronic devices in the suggested application.