Gesture-Augmented Speech Recognition for Hands-Free Text Correction
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Solution Overview
Problem
Conventional dictation systems using automatic speech recognition (ASR) face challenges with users finding it awkward to speak punctuation and commands, and the need to use keyboards/mice to correct ASR output conflicts with the desire to replace these devices with ASR functionality.
Innovation Solution
An integrated system that combines speech recognition with gesture recognition, using a microphone for speech input and cameras (IR, time of flight, or stereoscopic) to recognize hand gestures, allowing users to input and edit text without keyboards/mice by associating gestures with operations like punctuation, cursor movement, and application-specific actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional ASR systems are used for dictation, then speech-to-text conversion is achieved, but users must use keyboards/mice to correct errors which conflicts with the goal of replacing entry devices
Solution Approach 1:
The patent combines speech recognition and gesture recognition into a unified input system. The gesture module works alongside the speech module to provide a complete hands-free interface, merging two recognition modalities into one integrated system that eliminates the need for separate correction devices.
Solution Approach 2:
The gesture module serves multiple functions: it can correct ASR errors, insert punctuation, navigate text, and perform application-specific actions. This multi-functionality replaces the traditional keyboard/mouse for various text manipulation tasks, allowing a single gesture-based interface to handle diverse correction needs.
2Productivity
If users speak punctuation and commands for dictation, then text generation is automated, but the process becomes awkward and reduces dictation speed
Solution Approach 1:
The patent replaces the mechanical act of speaking punctuation (which requires precise articulation and interrupts speech flow) with gesture-based punctuation input. Hand gestures provide a more natural and continuous interface for punctuation insertion, eliminating the awkwardness of verbal punctuation while maintaining automation.
Solution Approach 2:
The gesture module acts as an intermediary between the user's intent and the text output. Instead of directly speaking punctuation, users perform gestures that are translated into punctuation commands, providing a more intuitive and less disruptive method for text generation that maintains faster dictation speed.
3Measurement precision
If keyboards/mice are used to correct ASR output, then text accuracy is improved, but the need for additional entry devices increases system complexity
Solution Approach 1:
The patent extracts the text correction function from traditional entry devices (keyboards/mice) and relocates it to the gesture recognition system. By taking out the correction capability and embedding it within the existing camera-based gesture module, the system maintains text accuracy without requiring additional physical devices.
Data Source
AI summary
Methods and systems may provide for generating text based on speech input and recognizing one or more hand gestures. Additionally, an adaptation of the text may be conducted based on the hand gestures. In one example, the hand gestures are associated with operations such as punctuation insertion operations, cursor movement operations, text selection operations, capitalization operations, pause of speech recognition operations, resume of speech recognition operations, application-specific actions, and so forth, wherein the adaptation of the text includes the associated operation.