Phonetic Fragment Verbal Cues for High-Speed Voice Control
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Solution Overview
Problem
Voice-enabled devices are inefficient for fast and repetitive interactions due to the slower processing of voice commands compared to manual inputs, making them impractical in situations requiring quick responses.
Innovation Solution
Implementing phonetic fragments as verbal cues that can be quickly pronounced and recognized by speech recognition systems, allowing for rapid input of commands to voice-controlled applications, with mappings that adapt to context and user language proficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete words or phrases are used for voice commands, then the commands are clear and unambiguous, but the input speed becomes much slower compared to manual input devices
Solution Approach 1:
The patent segments complete words or phrases into smaller phonetic units (phonemes or syllables). Users can input commands by speaking only these segmented phonetic units rather than complete words, significantly reducing pronunciation time while maintaining command recognition accuracy through the system's ability to map phonetic segments to specific commands based on context
Solution Approach 2:
The system changes the parameter of voice input from complete linguistic units (words/phrases) to reduced phonetic segments. This parameter change allows faster input while the contextual mapping system ensures accurate command identification, resolving the contradiction between speed and accuracy
2Ease of operation
If voice commands are used for fast and repetitive interactions, then hands-free operation is achieved, but the interaction speed becomes frustratingly slow or impractical
Solution Approach 1:
By segmenting commands into rapid phonetic units that can be spoken quickly and repeatedly, the system maintains hands-free operation convenience while achieving interaction speeds that are practical for fast-paced applications like gaming, resolving the productivity issue
Solution Approach 2:
The system enables periodic, rapid repetition of phonetic cue commands, allowing users to perform fast and repetitive interactions at high speed while maintaining hands-free operation, making voice control practical for applications requiring quick successive inputs
3Loss of time
If phonetic fragments are used as verbal cues, then input speed increases potentially beyond manual inputs, but the system complexity increases to handle context-dependent mapping
Solution Approach 1:
The system provides self-service through automated contextual analysis and command mapping. The processor automatically analyzes the context (application state, user preferences, language proficiency) and maps phonetic cues to appropriate commands without requiring user intervention, managing the complexity internally while keeping the user interface simple and fast
Solution Approach 2:
The system uses feedback from the application context, user preferences, and language proficiency to dynamically adjust command mapping. This feedback mechanism allows the system to handle complex context-dependent mapping automatically, resolving commands efficiently based on real-time conditions while maintaining fast input speeds
Data Source
AI summary
A technique for controlling a voice-enabled device using voice commands includes receiving an audio signal that is generated in response to a verbal utterance, generating a verbal utterance indicator for the verbal utterance based on the audio signal, selecting a first command for a voice-controlled application residing within the voice-enabled device based on the verbal utterance indicator, and transmitting the first command to the voice-controlled application as an input.