Audio-Based Polling in Conference Calls
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Solution Overview
Problem
Existing conference call platforms struggle to facilitate audio-based polling across all participants, including those connected via audio-only, which disrupts the flow of discussions and requires additional resource management.
Innovation Solution
A system and method for initiating and conducting audio-based polling during conference calls, where participants can designate specific elements on their client devices to start polling, and the conference platform automatically records and analyzes verbal statements to identify questions and collect responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional polling methods are used in conference calls, then polling functionality is provided, but the flow of discussion is disrupted and additional system resources are consumed
Solution Approach 1:
The system enables participants to initiate polling by simply speaking the word 'poll' during the conference call, without requiring manual interface interactions. The automated speech recognition system captures the polling intent and automatically initiates the polling process, allowing participants to conduct polls hands-free and maintain natural discussion flow.
Solution Approach 2:
The patent replaces traditional mechanical polling interfaces (buttons, menus, forms) with automated speech recognition and audio-based polling mechanisms. Participants use natural speech to initiate and respond to polls, eliminating the need for manual interface interactions and reducing disruption to discussion flow.
2Adaptability or versatility
If audio-based polling is implemented for all participants, then inclusivity is improved, but system resource usage increases
Solution Approach 1:
The system implements audio-based polling selectively based on participant needs and conference call context, rather than universally for all participants. The automated speech recognition system activates polling functionality only when polling intent is detected, optimizing resource usage while maintaining inclusivity for audio-only participants.
Solution Approach 2:
The system dynamically adjusts polling parameters including recording duration, audio sensitivity thresholds, and polling activation conditions based on the conference call environment. This adaptive approach ensures audio-based polling is activated only when necessary, balancing inclusivity with efficient resource consumption.
3Ease of operation
If automated speech recognition is used to detect polling questions, then ease of operation is improved, but accuracy in identifying polling questions may be affected
Solution Approach 1:
The system employs feedback mechanisms where the automated speech recognition system continuously monitors audio input, provides real-time identification of polling questions, and allows for verification or correction. This feedback loop ensures accurate detection while maintaining ease of operation through automated processing.
Solution Approach 2:
The system performs preliminary training and calibration to recognize polling question patterns before actual use. The automated speech recognition system is pre-configured with polling question identifiers and contextual understanding, enabling accurate detection without requiring complex real-time analysis during the conference call.
Data Source
AI summary
One or more audio files including a recording of one or more verbal statements provided by a first participant of the conference call are obtained. A determination is made that the recorded one or more verbal statements include a question associated with audio-based polling of a set of second participants of the conference call. Response data indicating one or more responses to the question provided by at least one of the set of second participants is obtained. A report indicating one or more outcomes of the audio-based polling is generated based on at least the question and the one or more responses to the question indicated by the obtained response data.