Confidence Threshold Interface for Speech Recognition
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Solution Overview
Problem
Setting confidence score thresholds in speech recognition systems is challenging, particularly for non-experts, as existing methods lack guidance and visualization, leading to overwhelming combinations when multiple thresholds are involved.
Innovation Solution
An interactive user interface is provided with visual displays and user controls for adjusting high and low confidence thresholds, including recommended settings and graphical representations of performance statistics, allowing users to select optimal thresholds interactively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If confidence score thresholds are set manually without visualization tools, then system performance can be optimized, but the process becomes overly complex and difficult for non-experts
Solution Approach 1:
The patent introduces an interactive graphical user interface as an intermediary between the user and the complex threshold setting process. The UI displays ROC curves and confidence score visualizations that translate complex performance metrics into intuitive graphical representations, allowing non-experts to make informed decisions without needing to understand the underlying statistical models
Solution Approach 2:
The patent transforms the one-dimensional threshold selection process into a two-dimensional visual exploration space by displaying ROC curves with confidence scores on both axes. This dimensional transformation allows users to visualize the trade-off between false acceptance and correct acceptance rates, making the complex multi-parameter optimization problem more accessible
2Reliability
If multiple confidence thresholds are adjusted independently, then system performance can be fine-tuned, but the number of possible combinations becomes overwhelming
Solution Approach 1:
The patent merges the adjustment of multiple confidence thresholds into a unified interactive interface that displays all thresholds and their corresponding performance metrics simultaneously. The graphical UI combines high confidence threshold, low confidence threshold, and intermediate threshold adjustments in a single coherent visualization, allowing users to see the combined effect of all threshold settings without managing them separately
Solution Approach 2:
The patent implements dynamic updating of performance statistics as users adjust thresholds in real-time. The system continuously recalculates and displays false acceptance rate, correct acceptance rate, and other performance metrics based on current threshold selections, providing immediate feedback that guides users toward optimal settings without requiring manual computation or complex configuration
3Measurement precision
If confidence thresholds are set to maximize correct acceptance rate, then recognition accuracy improves, but false acceptance rate increases
Solution Approach 1:
The patent implements a feedback mechanism through the ROC curve visualization that shows users the direct relationship between threshold settings and both correct acceptance rate and false acceptance rate. As users adjust thresholds, the system provides immediate visual feedback displaying how changes affect both metrics, allowing users to find the optimal balance point on the curve where correct acceptance is maximized while false acceptance remains acceptable
Data Source
AI summary
An interactive user interface is described for setting confidence score thresholds in a language processing system. There is a display of a first system confidence score curve characterizing system recognition performance associated with a high confidence threshold, a first user control for adjusting the high confidence threshold and an associated visual display highlighting a point on the first system confidence score curve representing the selected high confidence threshold, a display of a second system confidence score curve characterizing system recognition performance associated with a low confidence threshold, and a second user control for adjusting the low confidence threshold and an associated visual display highlighting a point on the second system confidence score curve representing the selected low confidence threshold. The operation of the second user control is constrained to require that the low confidence threshold must be less than or equal to the high confidence threshold.