Speech Recognition Speed Adaptation for User and Environment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current speech recognition technologies do not effectively adapt to user features and environments, leading to suboptimal processing speeds that compromise accuracy and user experience.
Innovation Solution
A speech recognition apparatus and method that determine and adjust processing speeds based on user features, such as personality and emotional state, and environmental factors, using inputs like facial expressions, voice analysis, and GPS data, to optimize speech recognition performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If speech recognition processes at high speed, then processing time is reduced, but recognition accuracy deteriorates
Solution Approach 1:
The patent applies dynamics by making the speech recognition speed adjustable rather than fixed. The system dynamically changes processing speed based on real-time detection of user states (alertness, distraction) and environmental conditions, allowing optimal balance between speed and accuracy for each specific situation rather than using a constant high or low speed
Solution Approach 2:
The patent changes the processing speed parameter based on detected user and environmental conditions. When users are detected to be in alert states or in favorable environments, the system increases processing speed; when users show signs of distraction or environmental conditions are poor, the system reduces speed to maintain accuracy, thus resolving the speed-accuracy tradeoff through parameter adaptation
2Measurement precision
If speech recognition uses complex analysis methods, then recognition accuracy is improved, but processing time increases
Solution Approach 1:
The system changes analysis depth parameters based on user state and environmental conditions. When users are alert and environmental conditions are favorable, the system employs more complex analysis methods to maximize accuracy. When users are distracted or conditions are poor, the system reduces analysis complexity to minimize processing time, thus resolving the accuracy-time contradiction through adaptive parameter adjustment
3Ease of operation
If speech recognition adjusts speed based on user features and environment, then user experience is improved, but system complexity increases
Solution Approach 1:
The patent applies self-service by having the system automatically detect user states (through sensors monitoring physiological signals, behavior patterns) and environmental conditions, then autonomously adjust processing parameters without requiring user input. This automation improves user experience while managing complexity by using existing sensor data rather than requiring additional complex user interaction mechanisms
Solution Approach 2:
The system uses feedback from sensors monitoring user states and environmental conditions to dynamically adjust speech recognition parameters. By continuously detecting user alertness levels, distraction signs, and environmental factors, the system receives real-time feedback and adapts processing speed accordingly, creating a closed-loop system that improves user experience through automated adaptation
Data Source
AI summary
A speech recognition method and apparatus are provided, in which the speech recognition apparatus may recognize a user feature and a speech recognition environment, determine a speech recognition speed for performing speech recognition based on one of the recognized user feature and the speech recognition environment, and perform the speech recognition based on the determined speech recognition speed.