Speech Recognition Engine Manager for Adaptive User Interface Selection
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Solution Overview
Problem
Complex graphical user interfaces (GUIs) are often mouse- and keyboard-intensive, making them difficult or impossible for individuals with physical disabilities to use, while existing speech recognition systems lack the ability to dynamically select the most suitable engine based on user preferences and environmental factors.
Innovation Solution
A speech recognition engine manager that detects available engines, selects the most suitable one based on user preferences, heuristics, and environmental factors, and manages sessions to ensure optimal speech recognition, allowing for seamless integration with various user interfaces and applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single speech recognition engine is used, then the system is simple to manage, but it cannot adapt to different user preferences and environmental factors
Solution Approach 1:
The patent combines multiple speech recognition engines into a unified system managed by a speech recognition engine manager. This manager detects available engines, selects the most suitable one based on user preferences and environmental factors, and coordinates their operation, thereby achieving adaptability while maintaining manageable system complexity through centralized control.
Solution Approach 2:
The speech recognition engine manager serves multiple functions: it detects available engines, selects appropriate engines based on various criteria, manages sessions, and coordinates recognition operations. This multi-functional approach allows the system to adapt to different scenarios without requiring separate management systems for each function.
2Adaptability or versatility
If multiple speech recognition engines are managed manually, then flexibility is improved, but ease of operation deteriorates
Solution Approach 1:
The speech recognition engine manager automatically detects available engines, selects the most suitable one based on user preferences and environmental factors, and manages sessions without requiring manual intervention. This self-service capability maintains flexibility in engine selection while significantly improving ease of operation by eliminating manual management tasks.
3Ease of operation
If speech recognition is implemented, then accessibility for individuals with physical disabilities is improved, but system complexity increases
Solution Approach 1:
The speech recognition engine manager acts as an intermediary between the user interface and multiple speech recognition engines. It handles the complexity of engine detection, selection, and coordination, while presenting a simple interface to users. This mediator approach improves accessibility by enabling speech recognition without requiring users to manage the underlying system complexity.
Data Source
AI summary
A system having multiple speech recognition engines, each operable to recognize spoken data, is described. A speech recognition engine manager detects the speech recognition engines, and selects at least one for recognizing spoken input from a user, via a user interface. In this way, a speech recognition engine that is particularly suited to a current environment may be selected. For example, a speech recognition engine that is particularly suited for, or preferred by, the user may be selected, or a speech recognition engine that is particularly suited for a particular type of interface, interface element, or application, may be selected. Multiple ones of the speech recognition engines may be selected and simultaneously maintained in an active state, by maintaining a session associated with each of the engines. Accordingly, users' experience with voice applications may be enhanced, and, in particular, users with physical disabilities may more easily interact with software applications.