Gesture-Enhanced Speech-to-Text Input for Punctuation Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Speech-to-text engines often misinterpret speech input for punctuation and special characters, leading to errors during text input.
Innovation Solution
A gesture-based system that uses a processor and memory to receive speech input, convert it to text, and associate specific gestures with characters, allowing users to input punctuation and special characters accurately by detecting gestures through sensors like cameras, gyroscopes, and touchscreens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If speech-to-text engine is used to convert user speech into text, then text input efficiency is improved, but accuracy of punctuation and special character input deteriorates due to erroneous character insertion
Solution Approach 1:
The patent combines speech-to-text conversion with gesture recognition into a unified text input system. The speech engine handles general text input efficiently while the gesture recognition component handles punctuation and special characters, merging both methods into a single integrated solution that leverages the strengths of each approach.
Solution Approach 2:
The gesture recognition system acts as an intermediary between the speech-to-text engine and the final text output. When the speech engine encounters punctuation or special characters, the system intercepts these inputs and replaces them with corresponding gesture-recognized characters, serving as a mediator that corrects the speech engine's errors.
2Productivity
If speech-to-text engine inserts punctuation automatically, then text input speed is improved, but text accuracy deteriorates due to erroneous character insertion
Solution Approach 1:
The system implements feedback by monitoring the speech-to-text engine's output for punctuation and special characters, comparing them against recognized gestures, and correcting errors when mismatches are detected. This feedback loop ensures that the final text accurately reflects the user's intended input while maintaining the speed benefits of speech recognition.
3Measurement precision
If gesture recognition is added to correct speech-to-text errors, then punctuation input accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the text input function into two distinct components: speech-to-text conversion for general text and gesture recognition for punctuation and special characters. This segmentation allows each component to specialize in its strength while keeping the overall architecture manageable through clear separation of concerns.
Solution Approach 2:
The system achieves multi-functionality by enabling the electronic device to process both speech and gesture inputs through a single unified interface. The same text input field accepts both speech-converted text and gesture-recognized characters, eliminating the need for separate input mechanisms and reducing overall system complexity.
Data Source
Figure 1
Figure 2
Figure 3
AI summary
An apparatus for using a gesture to insert a character includes a processor and a memory that stores code executable by the processor. The executable code causes the processor to receive speech input from a user of an electronic device, convert the speech to text, receive a gesture from the user, associate the received gesture with a character and input the character into the text.