Real-time Flagged Word Processing in Audible Communications
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Solution Overview
Problem
Existing systems lack the capability to automatically flag and process words or phrases spoken in audible communications in real time, failing to provide relevant content to users based on their profiles and context.
Innovation Solution
The SpeechProb system, which includes a local device with speech recognition, stress analysis, and association modules, analyzes conversations to identify key words and phrases, associates them with relevant content, and delivers this information through various communication channels, utilizing user profiles and stress analysis to provide targeted content during voice communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If real-time analysis of audible communications is implemented, then relevant content can be provided to users, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a speech recognition module that converts audible communications to text, a stress analyzing module that identifies emphasized words, an association module that links words to content, and an interfacing module that delivers content. This segmentation allows each module to perform its function independently, managing complexity while enabling real-time content delivery.
Solution Approach 2:
The patent introduces intermediate processing layers between the audible communication and the final content delivery. The speech recognition module acts as an intermediary converting speech to text, the stress analyzing module intermediates by identifying key words, and the association module intermediates by matching words with relevant content. These intermediaries manage system complexity by breaking down the processing chain.
2Measurement precision
If speech recognition and stress analysis are added to process audible communications, then word flagging accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary speech recognition to convert audible communications into text before stress analysis. This preliminary conversion allows the stress analyzing module to work with text data rather than raw audio, improving flagging accuracy while reducing the computational time required for subsequent processing steps.
Solution Approach 2:
The patent replaces direct audio processing with text-based processing through speech recognition. Instead of analyzing stress patterns in raw audio signals, the system converts speech to text and then analyzes the text for stressed words. This substitution improves measurement precision while managing processing time by working with processed text data.
3Adaptability or versatility
If user profile information is integrated into content association, then content relevance improves, but data processing requirements increase
Solution Approach 1:
The association module applies user profile information selectively to specific words identified by the stress analyzing module. Instead of processing all words uniformly, the system applies personalized content association only to flagged stressed words, improving content relevance while minimizing data processing requirements by focusing computational resources on key terms.
Data Source
AI summary
A system and method adapted to allow a user to be automatically presented with digitally available content related to words spoken or heard by a user. The system and method for processing flagged words in audible communications is operative to analyze the content in an audible communication, as well as stress levels associated with different segments of the conversation, in order to flag key words and/or phrases and associate the flagged words and/or phrases with relevant digital content, which may be provided in the form of web links, advertising offers, and even warnings to the communications to be delivered with the audible communication. Thus, the system and method for processing flagged words in audible communications in operation enables a user to receive actionable information and/or advertisements relevant to a user's conversations or media heard (and/or viewed) in real time.