Speech Recognition System for Controlling Multiple Target Devices
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Solution Overview
Problem
Users face difficulties in controlling multiple target systems using spoken commands due to the need to familiarize themselves with specific characteristics of each system, especially when using them in a mixed sequence.
Innovation Solution
A system and method that utilize a microphone, speech recognition system, and interface information specific to each target system or group of systems, allowing for the recognition of spoken commands through controllers that can adapt to different target systems by checking in and analyzing interface information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If speech recognition systems use specific characteristics tailored to each target system, then recognition accuracy for that system is improved, but users face difficulties in day-to-day dealings when wishing to use a plurality of target systems
Solution Approach 1:
The speech recognition system is designed to handle multiple target systems through a universal interface mechanism. The system can adapt to different target systems (text processing systems, presentation systems, word processing systems) while maintaining a consistent user experience, allowing users to operate various systems without learning system-specific characteristics.
Solution Approach 2:
An interface information structure serves as an intermediary between the speech recognition system and multiple target systems. This interface layer translates between the universal speech commands and the specific requirements of each target system, enabling accurate recognition without requiring users to know system-specific characteristics.
2Manufacturing precision
If speech recognition systems are customized for each target system, then system-specific control precision is improved, but device complexity increases
Solution Approach 1:
The system is segmented into distinct functional components: a universal speech recognition engine, an interface information layer, and target system-specific adapters. This segmentation allows the core recognition system to remain simple while handling multiple targets through standardized interfaces, reducing overall system complexity.
Solution Approach 2:
The system uses parameter-based adaptation where interface information contains configurable parameters for each target system. By changing these parameters rather than restructuring the entire system, the speech recognition can be adapted to different targets without increasing fundamental system complexity.
Data Source
AI summary
A system for controlling or operating a plurality of target systems via spoken commands is provided. The system includes a first plurality of target systems, a second plurality of controllers for controlling or operating target systems via spoken commands, a speech recognition system that stores interface information that is specific to a target system or a group of target systems that are to be controlled or operated. A first controller in the second plurality of controllers includes a microphone for picking up audible signals in the vicinity of the first controller and a device for transmitting the audible signals to a speech recognition system. The speech recognition system is operable to analyze the interface information to recognize spoken commands issued for controlling or operating said target system.