Speech Recognition Verb Error Recovery
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Solution Overview
Problem
Current speech recognition systems often misinterpret verb-plus-object commands with errors, leading to compound errors where the system treats the command as dictation, requiring users to undo and re-speak, which frustrates users and complicates the interaction experience.
Innovation Solution
A computer-implemented method and system that maintains a set of verbs for speech recognition commands, providing inductive feedback when an invalid object is recognized with a verb, allowing users to specify how the verb and object should be treated, thereby preventing compound errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the system automatically determines whether speech is dictation or command without user indication, then user experience is simplified, but recognition errors occur when verb-plus-object commands are misinterpreted as dictation
Solution Approach 1:
The system provides feedback to users when recognition ambiguity is detected, allowing users to clarify their intent. This resolves the contradiction by maintaining automatic classification benefits while adding a feedback loop to correct potential errors, thus improving reliability without sacrificing ease of operation.
Solution Approach 2:
The system performs preliminary analysis of speech patterns to predict potential recognition errors before they occur. By detecting ambiguous verb-plus-object structures in advance, the system can proactively seek user clarification, preventing compound errors while maintaining the intuitive automatic classification approach.
2Device complexity
If the system treats all unrecognized speech as dictation, then processing is simplified, but compound errors occur requiring users to undo and re-speak
Solution Approach 1:
The system introduces feedback mechanisms that detect when automatic dictation treatment may be incorrect, particularly for verb-plus-object structures. This prevents compound errors by alerting users to potential misinterpretations, reducing the time users spend correcting errors while maintaining relatively simple processing logic.
Solution Approach 2:
The system introduces an intermediary verification step between speech recognition and dictation insertion. This mediator checks for potential command structures before defaulting to dictation treatment, preventing compound errors without significantly increasing overall system complexity.
3Adaptability or versatility
If the system provides detailed feedback about recognition uncertainty, then user control is improved, but interaction complexity increases
Solution Approach 1:
The system provides targeted feedback only when recognition ambiguity is detected, rather than continuously. This improves user control flexibility by informing users when their input may be misinterpreted, while avoiding unnecessary interaction complexity by remaining silent when recognition is confident.
Solution Approach 2:
The system applies feedback selectively only in cases of recognized ambiguity, rather than for all speech inputs. This partial application of feedback improves user control where needed while minimizing interaction complexity by avoiding unnecessary feedback in clear-cut cases.
Data Source
AI summary
A computer implemented method and system for speech recognition are provided. The method and system generally maintain a set of verbs for speech recognition commands. Upon recognizing utterance of a verb of the set in combination with an invalid object or objects for the verb, the method and system generate an indication relative to the verb and invalid object. The indication can include informing the user that the system is unsure how to execute the command associated with the verb with the invalid object. The method and system can then receive a user input to specify how the verb and invalid object should be treated.