GPS-Based Speech Recognition for Dynamic Navigation
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Solution Overview
Problem
Current GPS systems require cumbersome manual input for navigation, leading to delays and excessive user interaction, as they do not effectively utilize location information for efficient content selection during travel.
Innovation Solution
Implementing a speech recognition method that uses location parameters from GPS systems to configure recognition sets, allowing users to input destinations vocally and automatically reconfigure these sets based on changing location parameters, such as position, speed, and direction, to provide guided navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual input methods are used for GPS navigation, then the system can accurately receive destination information, but the user interaction becomes cumbersome and causes travel delays
Solution Approach 1:
The patent replaces manual typing (mechanical input) with speech recognition (acoustic input). The speech recognizer captures voice commands, converts them to text, and processes them to determine destinations, eliminating the need for manual keyboard input while maintaining accuracy and reducing time loss.
Solution Approach 2:
The system uses the device's own microphone and speech recognition capabilities to automatically capture and process destination information. The speech recognizer continuously monitors audio input, automatically identifies destination requests, and updates navigation without requiring user intervention for each input action.
2Adaptability or versatility
If speech recognition is implemented without location-based configuration, then the system can process any speech input, but it cannot efficiently select relevant content based on user context
Solution Approach 1:
The system pre-configures recognition sets based on GPS location data before speech input is received. By determining the user's current location and pre-loading relevant destination names, addresses, and location-based vocabulary into the recognition set, the system prepares the speech recognizer to efficiently process and accurately recognize location-relevant speech inputs.
Solution Approach 2:
The patent applies different recognition sets tailored to specific geographic locations. Instead of using a single universal recognition vocabulary, the system dynamically adjusts the recognition set to include location-specific names, streets, and destinations relevant to the user's current GPS coordinates, improving both accuracy and efficiency for local context.
3Device complexity
If the recognition set is statically configured, then the system structure remains simple, but it cannot adapt to changing location parameters during travel
Solution Approach 1:
The patent implements dynamic reconfiguration of the speech recognition set based on real-time GPS location parameters. As the user's location changes during travel, the system automatically updates the recognition set with new location-relevant vocabulary, ensuring the speech recognizer remains adapted to the current geographic context without requiring manual intervention.
Data Source
AI summary
Embodiments of the present invention improve content selection systems and methods using speech recognition. In one embodiment, the present invention includes a speech recognition method comprising receiving location parameters from a global positioning system, retrieving location data using the location parameters, and configuring one or more recognition sets of a speech recognizer using the location data.