Voice Feedback for Partial Handwritten Input in Motor Vehicles
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Solution Overview
Problem
Existing systems fail to provide accurate and efficient voice feedback for partially written handwritten user inputs in motor vehicles, leading to incomplete searches and increased computational load due to the need for phonetic transcriptions and extensive database searches.
Innovation Solution
A method that generates a voice message for partial words by creating a list of possible whole words with their corresponding phonetic transcriptions, abbreviating the whole words to match partial inputs, and using a look-up table for quick retrieval, reducing the reliance on database searches and improving pronunciation accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a database search is performed for each partial handwritten word to generate voice feedback, then the accuracy of voice recognition is improved, but the computational load and processing time increase significantly
Solution Approach 1:
The patent pre-generates and stores all possible partial word forms and their corresponding phonetic transcriptions in a lookup table before runtime. When a user inputs a partial handwritten word, the system performs a simple table lookup instead of conducting a computationally intensive database search, thereby maintaining high recognition accuracy while dramatically reducing processing time and computational load.
Solution Approach 2:
The patent generates voice feedback for partial words even when the user has not completed writing the entire word. By providing phonetic transcriptions for incomplete inputs, the system enables immediate feedback during input pauses without requiring a complete word match, thus improving responsiveness while managing computational resources efficiently through the pre-computed lookup table.
2Productivity
If the system waits for complete word input before providing voice feedback, then the computational load is reduced, but the user experience deteriorates due to delayed feedback during input pauses
Solution Approach 1:
The system pre-computes and stores phonetic transcriptions for all possible partial word forms in advance. This allows the system to provide immediate voice feedback for incomplete inputs without performing real-time database searches, thus maintaining computational efficiency while significantly improving user experience by reducing feedback delay during input pauses.
Solution Approach 2:
The patent implements continuous feedback by providing voice output for partial words as the user writes, rather than waiting for complete input. This immediate feedback mechanism, enabled by the pre-computed lookup table, allows users to verify their input in real-time and correct errors during input pauses, thereby enhancing ease of operation without compromising computational efficiency.
3Measurement precision
If phonetic transcriptions are generated for all possible partial word forms, then the voice feedback accuracy is improved, but the data storage requirements increase
Solution Approach 1:
The patent generates and stores phonetic transcriptions for all possible partial word forms (including incomplete words) in advance. While this increases data storage requirements compared to storing only complete words, it enables accurate voice feedback for incomplete inputs, improving overall system accuracy. The lookup table structure efficiently organizes this data to minimize storage overhead.
Data Source
AI summary
A method for generating a voice announcement as feedback to a handwritten user input is disclosed in which a user enters on a control device. A list of possible whole words which can be entered by the user input is provided together with a corresponding transcription and a predetermined word end, which comprises one or more characters of a whole word of the whole words, is removed from the end of said whole word in accordance with a predetermined shortening rule and corresponding to this, a transcription end corresponding to the word end is determined based on a predetermined assignment rule and is removed from the corresponding transcription of the whole word for generating a partial word and an associated partial transcription. The partial word and the partial transcription are added to another list.