Context-Sensitive Audio Entity Search on Timeline
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Solution Overview
Problem
Users find it cumbersome and disruptive to manually search for additional information while watching TV or listening to radio, as existing methods require manual intervention and are not context-sensitive.
Innovation Solution
An electronic device with a processor that performs speech recognition, linguistically analyzes audio signals for named-entities, performs Internet or database searches, and displays query results on a timeline, providing context-sensitive information without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If manual search requests are launched to obtain additional information, then information accessibility is improved, but user convenience deteriorates due to cumbersome and disruptive operations
Solution Approach 1:
The system automatically performs speech recognition on audio signals, linguistically analyzes the output for named-entities, and executes search requests without requiring manual user intervention. The electronic device serves itself by autonomously capturing audio, processing speech, identifying entities, and displaying search results on a timeline, thereby eliminating the need for users to manually launch search requests while still providing accessible additional information
Solution Approach 2:
The system continuously monitors and processes audio signals in real-time, performing speech recognition and linguistic analysis proactively before user needs arise. By preparing and analyzing information in advance based on ongoing audio content, the system ensures that search results are ready for immediate display when relevant named-entities are detected, improving both information accessibility and user convenience
2Loss of information
If continuous monitoring of audio signals is performed for speech recognition, then information relevance is improved, but energy consumption increases
Solution Approach 1:
The system performs speech recognition and linguistic analysis at periodic intervals based on detected speech segments rather than continuously monitoring all audio signals. By activating processing only when speech is detected and analyzing audio in discrete segments, the system maintains context-sensitive information retrieval while significantly reducing overall energy consumption compared to uninterrupted continuous monitoring
Solution Approach 2:
The system applies partial action by focusing computational resources only on relevant portions of audio signals containing speech and named-entities, rather than processing all audio content equally. This selective processing approach maintains high information relevance for context-sensitive queries while minimizing energy expenditure by avoiding unnecessary analysis of non-speech audio segments
Data Source
AI summary
An electronic device comprising a processor which is configured to perform speech recognition on an audio signal, linguistically analyze the output of the speech recognition for named-entities, perform an Internet or database search for the recognized named-entities to obtain query results, and display, on a display of the electronic device, information obtained from the query results on a timeline.