Audio Query Generation with Emphasis Weighting
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Solution Overview
Problem
Current voice-based search systems on computer platforms face challenges in accuracy and require significant user input, leading to irrelevant search results.
Innovation Solution
The system generates search queries based on audio input by converting it into text, determining emphasis scores for each word, and using a speech model to personalize results, incorporating natural language processing to filter and bias search queries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice-based search is implemented on computer platforms, then user input convenience is improved, but search accuracy deteriorates due to insufficient user input and irrelevant results
Solution Approach 1:
The patent introduces an audio processing system as an intermediary between the user's voice input and the search query generation. This intermediary processes the audio signal through multiple stages (audio signal reception, text conversion, emphasis detection, query generation) to bridge the gap between casual voice input and accurate search results, resolving the contradiction by adding processing layers that maintain ease of use while improving accuracy
Solution Approach 2:
The system performs preliminary processing of the audio input before generating the search query. By detecting emphasis in the audio signal and converting it to text with weighted terms beforehand, the system prepares refined search parameters in advance, ensuring accurate results are generated from the initial voice input without requiring additional user refinement
2Device complexity
If traditional search query generation is used, then system complexity is minimized, but search result relevance deteriorates
Solution Approach 1:
The patent segments the search query generation process into distinct functional modules: audio signal reception, text conversion, emphasis detection, and query generation. Each module handles a specific aspect of the processing, allowing the system to achieve high result relevance through specialized processing while maintaining manageable overall complexity through modular architecture
Solution Approach 2:
The system changes the parameters of the search query by applying emphasis weights to different terms based on audio analysis. By transforming the raw text into a weighted query structure that reflects user intent, the system significantly improves result relevance without requiring a complete overhaul of the search infrastructure
Data Source
AI summary
Among other things, embodiments of the present disclosure relate to generating search queries based on audio processing. Other embodiments may be described and/or claimed.