Voice Media Search Using Lexicon Caching and NLP Context
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Solution Overview
Problem
Existing voice-based input systems for media devices struggle with accurately recognizing user commands due to a lack of context awareness, leading to incorrect device actions and irrelevant multimedia content retrieval.
Innovation Solution
A system that processes voice input through speech-to-text translation, user modification, device lexicon caching, natural language processing, and media content search to accurately interpret and execute user commands, utilizing a device lexicon cache and natural language processing cache to enhance command recognition and search relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional voice-based input systems are used, then ease of operation is improved, but measurement precision of command recognition deteriorates
Solution Approach 1:
The system performs preliminary actions by maintaining device lexicon caches and natural language processing caches that store pre-processed voice patterns and command structures. When a voice command is received, the system first checks these caches to quickly identify and interpret the command intent, rather than processing from scratch each time. This preliminary preparation significantly improves command recognition accuracy while maintaining ease of voice-based operation.
Solution Approach 2:
The system implements feedback mechanisms where voice commands and their interpretations are continuously learned and stored in device lexicon caches and natural language processing caches. The system adapts to individual user voice patterns and command preferences over time, improving recognition accuracy through this cumulative learning feedback while preserving the simplicity of voice input.
2Measurement precision
If voice input processing through multiple stages is implemented, then measurement precision of command interpretation is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary processing by maintaining device lexicon caches that store pre-analyzed voice patterns, command structures, and natural language rules. When a voice command is received, these pre-computed resources enable rapid and accurate interpretation without requiring complex real-time analysis, thus improving command interpretation accuracy while managing device complexity through advance preparation.
Solution Approach 2:
The system implements self-service through automated natural language processing that independently analyzes and interprets voice commands using stored lexicon and language rules. The device automatically performs command interpretation, parameter extraction, and action determination without requiring manual configuration or complex external processing, improving accuracy while containing complexity through autonomous operation.
Data Source
AI summary
Voice-based input is used to operate a media device and/or to search for media content. Voice input is received by a media device via one or more audio input devices and is translated into a textual representation of the voice input. The textual representation of the voice input is used to search one or more cache mappings between input commands and one or more associated device actions and/or media content queries. One or more natural language processing techniques may be applied to the translated text and the resulting text may be transmitted as a query to a media search service. A media search service returns results comprising one or more content item listings and the results may be presented on a display to a user.