Voice Command Recognition via Context-Based Activation
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Solution Overview
Problem
Conventional voice command recognition systems require a specific triggering procedure, such as pressing a button or saying a specific phrase, to activate the voice command recognition function, leading to inefficiency and increased resource allocation, and often necessitate additional user input, which is inconvenient and power-intensive, especially in mobile or wearable devices.
Innovation Solution
A voice command recognition apparatus that uses audio sensors to determine user context, including distance, voice recognition accuracy, and ambient noise, to automatically activate or deactivate the voice command recognition function without the need for a triggering procedure, allowing the system to recognize voice commands based on user intention and proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the voice command recognition function is kept inactivated in a waiting state, then power consumption is reduced and resource allocation is efficient, but additional user input (button press or specific phrase) is required to activate it
Solution Approach 1:
The system performs preliminary analysis of the user's voice signal to detect intent indicators (such as specific phonemes, pitch patterns, or speech characteristics) before fully activating the voice command recognition function. This preliminary action allows the system to prepare for activation based on detected user intent, reducing the need for additional triggering inputs while maintaining energy efficiency by only fully activating when intent is detected
Solution Approach 2:
The voice command recognition function activates itself automatically when it detects specific characteristics in the user's voice signal that indicate command intent. The system monitors its own activation state and uses voice signal analysis to trigger activation without requiring external button presses or specific wake phrases, making the system self-activating based on user behavior patterns
2Reliability
If the voice command recognition function is activated to recognize trigger commands, then command recognition capability is improved, but resource allocation becomes inefficient and power consumption increases
Solution Approach 1:
The system performs partial voice signal analysis by monitoring only specific acoustic features (such as pitch range, speech rate, or particular phoneme patterns) that indicate command intent, rather than performing full voice command recognition continuously. This partial monitoring maintains reliable detection of user intent while consuming significantly fewer computational resources, allowing the system to activate full recognition capability only when necessary
Solution Approach 2:
The system periodically analyzes voice signals for intent indicators at predetermined intervals rather than continuously processing all audio input. This periodic monitoring approach maintains command recognition capability by regularly checking for activation conditions while improving resource allocation efficiency by leaving the full recognition system inactive between periodic checks
3Reliability
If a specific triggering procedure is required to activate voice command recognition, then system control is maintained, but user convenience deteriorates and additional input steps are needed
Solution Approach 1:
The system changes the activation parameter from requiring specific discrete actions (button presses or predetermined phrases) to detecting continuous voice signal characteristics that indicate intent (such as pitch patterns, speech rate, or specific phoneme sequences). This parameter change maintains system control by using detectable voice features as activation criteria while significantly improving user convenience by allowing natural speech to trigger activation without additional procedural steps
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enables seamless and efficient voice command recognition without the need for additional user intervention, reducing power consumption and improving user convenience by automatically activating the voice command recognition function when the user intends to use it, while maintaining accuracy and control.
Implementation Method 1
audio sensors placed at different locations; receiving a voice at audio sensors
Implementation Method 2
a distance calculator configured to calculate a distance from the user based on a time the voice reaches the audio sensors
Data Source
AI summary
A voice command recognition apparatus and method thereof are described. The voice command recognition apparatus includes audio sensors placed at different locations; a context determiner configured to determine user context based on a voice received at the audio sensors, wherein the context comprises a vocalization from a user. A command recognizer in the voice command recognition apparatus is configured to activate to recognize a voice command or remain inactive according to the recognized context.