Automated Presentation Control via Speech Context Matching
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Solution Overview
Problem
Current presentation control methods, whether manual or voice-command based, often lead to interruptions and inefficiencies due to the need for manual user intervention and limited contextual relevance, disrupting the flow of digital presentations.
Innovation Solution
Automated presentation control is achieved through contextual evaluation of user speech signals, converting them to text, matching with associated digital document data, and generating probability scores to determine the next placement position, allowing for seamless and efficient navigation within digital documents without manual action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual control methods (keyboard, mouse, clicker) are used to control presentation flow, then presentation control is achieved, but presenter attention is required and physical hand usage is limited
Solution Approach 1:
The patent replaces mechanical control systems (keyboard, mouse, clicker) with an automated speech recognition system. The processor captures audio signals from the presenter's speech, converts them to text, and automatically determines presentation flow without requiring manual device interaction, thus eliminating the need for physical hand usage and continuous attention on control devices
Solution Approach 2:
The system enables self-service presentation control by automatically interpreting the presenter's speech to determine when to advance slides or change content. The automated system serves itself by monitoring audio inputs and autonomously managing presentation flow without requiring external manual intervention or dedicated control devices
2Extent of automation
If voice commands are used to control presentation, then manual device handling is eliminated, but user must manually initiate service and voice command libraries are limited
Solution Approach 1:
The system performs preliminary actions by pre-processing the digital document content to identify and index relevant information, topics, and contextual relationships before the actual presentation occurs. This preparation enables the speech recognition system to automatically interpret and match spoken words with appropriate presentation content without requiring manual service initiation or limited voice command libraries
Solution Approach 2:
The patent creates a universal speech-based control system that can interpret various types of spoken commands and contextual nuances to control different aspects of presentation flow. The system handles multiple functions including slide advancement, content selection, and timing adjustments through a single unified speech recognition framework, eliminating the need for separate voice command libraries for different presentation tasks
3Productivity
If speech signals are continuously processed and matched with contextual data, then presentation flow is maintained without interruptions, but processing time and computational load increase
Solution Approach 1:
The system reduces processing time during actual presentation by performing preliminary actions beforehand - pre-processing the digital document to extract and index key information, topics, and contextual relationships. This preparation creates a ready-to-access knowledge base that enables rapid matching of spoken words to presentation content without requiring continuous heavy computational processing during speech
Solution Approach 2:
The patent applies partial action by processing only the most relevant portions of the digital document content that are likely to be referenced during presentation. Instead of analyzing every piece of data, the system identifies and processes key topics, headings, and contextual information that are most relevant to the presentation flow, reducing computational load while maintaining accurate speech-to-content matching
Data Source
AI summary
Non-limiting examples of the present disclosure relate to automated presentation control during presentation of one or more digital documents. Processing operations described herein may be configured to work with any type of application/service, where examples described herein extend to presentation of any type of digital document(s) including slide-based presentations. Speech signals may be detected while a digital document is being presented. The detected speech signals may be converted to text. The converted text may be matched with contextual data (e.g., pre-processed content) associated with the digital document. Probability scoring for determination of a next placement position of a digital document may be generated based on the matching of converted text with the contextual data of the digital document. The next placement position may be selected based on the generated probability scoring. Display of the digital document may be automatically updated to reflect the selected next placement position.