Meeting Speech Autocomplete for Real-Time Word Suggestion
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Solution Overview
Problem
Speakers in online video meetings, particularly those communicating in a non-native language, often experience difficulty in finding the right words, leading to pauses and the use of basic words instead of descriptive ones, which can hinder effective communication.
Innovation Solution
A system that provides real-time autocomplete suggestions to speakers by analyzing their speech and offering likely next words based on previous words, company-specific usage, and meeting context, displayed with probability scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speakers communicate in a non-native language during online meetings, then communication barriers and pauses increase, but the use of basic words instead of descriptive words worsens communication quality
Solution Approach 1:
The system performs preliminary action by analyzing the speaker's intent and context before the speaker finishes their thought, generating and presenting autocomplete suggestions in real-time. This allows speakers to access more precise vocabulary without having to search for words during their presentation, thereby maintaining communication flow and descriptive quality.
Solution Approach 2:
The autocomplete suggestion system acts as an intermediary between the speaker's intent and the desired expression. It translates the speaker's basic words or incomplete thoughts into more descriptive and precise alternatives, bridging the gap between non-native language capabilities and professional communication requirements.
2Loss of information
If speakers pause to search for correct words during online meetings, then communication completeness improves, but meeting productivity decreases
Solution Approach 1:
The system implements feedback by continuously monitoring the speaker's input and immediately providing relevant autocomplete suggestions. This real-time feedback loop allows speakers to maintain their natural speech rhythm while accessing vocabulary suggestions that ensure communication completeness, eliminating the need for disruptive pauses.
Solution Approach 2:
The system performs preliminary analysis of the speaker's context and generates vocabulary suggestions before the speaker needs to pause. This proactive approach ensures that descriptive words are available when needed, maintaining both communication completeness and meeting productivity.
3Productivity
If basic words are used instead of descriptive words in online meetings, then communication speed increases, but communication quality deteriorates
Solution Approach 1:
The autocomplete system serves as an intermediary that enhances basic words with more descriptive alternatives. It analyzes the context and provides suggestions that maintain the speaker's intended meaning while improving vocabulary precision, allowing fast communication without sacrificing quality.
Solution Approach 2:
The system changes the vocabulary parameter by suggesting more descriptive words while maintaining the same semantic meaning. This allows speakers to elevate their language quality without changing their speech pace or requiring additional time for word selection.
Data Source
AI summary
Audio is captured from an online meeting and words being spoken by a participant during the online meeting from the audio are identified. One or more suggested next words or phrases to be spoken by the participant are determined based on the words being spoken by the participant and one or more scores associated with previous words spoken by the participant. The words being spoken by the participant and the one or more suggested next words or phrases are generated for display to the participant.