ASR System Gesture Cues for Continuous Digit Recognition
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Solution Overview
Problem
Automatic speech recognition systems face difficulties in accurately interpreting continuous digits, especially in tonal languages like Chinese and Arabic, often mistaking them for single digits or incorrect counts, leading to user assistance being necessary for accurate recognition.
Innovation Solution
The method involves receiving continuous digits as speech, detecting when recognition falls below a confidence threshold, prompting the user to identify them via body gestures, detecting these gestures using a camera or display, and associating the gestures with the corresponding digits for improved recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the ASR system uses speech recognition alone to identify continuous digits, then the system structure remains simple, but the recognition accuracy deteriorates below acceptable levels
Solution Approach 1:
The patent combines speech recognition with gesture recognition into a unified ASR system. When the speech recognizer detects continuous digits with confidence below the threshold, it automatically prompts the user to supplement with gestures. The system merges the outputs of both recognition modalities to identify the digits, resolving the contradiction by integrating multiple functions into one system rather than adding separate systems.
Solution Approach 2:
The confidence threshold acts as an intermediary mechanism that determines when to switch from speech-only mode to speech-plus-gesture mode. The threshold mediates between maintaining simple operation and ensuring accurate recognition by triggering gesture supplementation only when necessary, thus balancing system complexity with recognition accuracy.
2Loss of time
If the ASR system prompts for gesture supplementation only when confidence is low, then unnecessary gestures are avoided, but additional recognition steps are introduced when needed
Solution Approach 1:
The system implements feedback through the confidence threshold mechanism. The speech recognizer continuously evaluates its confidence level, and when this feedback indicates low confidence in continuous digit recognition, it automatically triggers the gesture supplementation process. This closed-loop feedback ensures gestures are requested only when necessary, minimizing time loss while maintaining accuracy.
3Extent of automation
If the system uses a confidence threshold to trigger gesture supplementation, then automatic switching is achieved, but the threshold setting becomes a critical parameter
Solution Approach 1:
The confidence threshold mechanism enables the system to self-regulate when to request gestures without external intervention. The ASR system automatically monitors its own confidence levels and makes autonomous decisions about whether continuous digits need gesture supplementation. This self-service capability reduces the need for complex external parameter management while maintaining high automation.
Data Source
AI summary
A method of recognizing continuous digits uttered by a speaker using an automatic speech recognition (ASR) system includes receiving continuous digits via a microphone as speech from a user; detecting that recognition of one or more of the continuous digits falls below a predetermined confidence threshold; prompting the user to identify the continuous digits using a body gesture; detecting the body gesture made by the user; and identifying one or more of the continuous digits based on the body gesture.