Voice Recognition Search Term Generation
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Solution Overview
Problem
The existing methods for searching online information require manual input of search query terms, which can distract individuals and disrupt activities such as conversations, necessitating an automated solution for generating search query terms from human voice input.
Innovation Solution
A computer-implemented method that receives an electronic representation of human voices, recognizes words, and generates suggested search terms based on the recognized words, allowing users to select and formulate search queries without manual input, using a system comprising a microphone, transmitter, receiver, and display device connected to a server for processing and displaying these terms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input of search query terms is used, then search accuracy is improved, but user attention is diverted from other activities
Solution Approach 1:
The system performs preliminary voice recognition and search term generation before the user needs to search. The voice recognition engine continuously monitors audio input and pre-generates suggested search terms based on the conversation, so when the user wants to search, the terms are already prepared and ready for selection, eliminating the need for manual input and maintaining user attention on the conversation.
Solution Approach 2:
The system serves itself by automatically generating search terms from the conversation without requiring user intervention. The voice recognition engine and search term generator work autonomously to convert spoken words into suggested search terms, which are then presented to the user for potential selection, making the search initiation process self-serving rather than user-driven.
2Loss of time
If automated search term generation from voice input is implemented, then user attention diversion is reduced, but search term accuracy may deteriorate
Solution Approach 1:
The system implements feedback by presenting the automatically generated suggested search terms to the user for review and selection. The user can evaluate the accuracy of the generated terms and choose the most appropriate ones, or modify them before submission. This feedback loop ensures that while automation reduces attention diversion, the user maintains control over search term accuracy.
Solution Approach 2:
The system introduces an intermediary layer between voice input and final search execution. The voice recognition engine converts speech to text, the search term generator creates suggested terms, and the user interface presents these as selectable options. This intermediary process allows automated generation while maintaining accuracy through user verification and selection.
3Speed
If voice recognition processing is performed continuously, then search term generation responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system uses periodic action by processing voice input in discrete time segments or upon detecting specific triggers (such as pauses in conversation or keywords). Rather than continuously analyzing every audio signal, the voice recognition engine processes audio at intervals or when triggered, maintaining responsiveness to user needs while significantly reducing overall energy consumption compared to constant processing.
Data Source
AI summary
A computer-implemented method includes receiving an electronic representation of one or more human voices, recognizing words in a first portion of the electronic representation of the one or more human voices, and sending suggested search terms to a display device for display to a user in a text format. The suggested search terms are based on the recognized words in the first portion of the electronic representation of the one or more human voices. A search query is received from the user, which includes one or more of the suggested search terms that were displayed to the user.