Smart TV Speech Awakening via Plugin Layer Interaction
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Solution Overview
Problem
Current smart TV technologies lack efficient and user-friendly methods for switching between standby states, particularly in supporting speech and video awakenings, and experience slow system startups due to low CPU processing rates during the switching process.
Innovation Solution
A TV awakening method based on speech recognition that allows smart TVs to remain in a standby state with the screen off but still receive and respond to user speech, controlling the TV's state transitions efficiently through a plugin layer interaction between the Android upper layer and bottom hardware, enabling real-time speech recognition and corresponding functional operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional standby switching mode is used, then power saving is achieved, but user convenience and response speed deteriorate due to long startup time and lack of speech/video awakening support
Solution Approach 1:
The TV system performs preliminary actions by maintaining certain system components in a ready state during standby, rather than completely powering down. The CPU and key subsystems remain in a low-power but operational state, prepared to quickly resume full functionality upon detecting speech or video awakening signals, thus reducing startup time while still saving power compared to full operation.
Solution Approach 2:
The system dynamically adjusts its standby behavior based on the type of awakening signal received. Different awakening methods (speech vs. video) trigger different startup sequences and power management strategies, allowing the system to optimize the balance between power saving and response speed according to the specific user intent and context.
2Adaptability or versatility
If traditional standby mode is used, then power consumption is reduced, but functional versatility deteriorates due to lack of speech recognition and video awakening support
Solution Approach 1:
The awakening system is segmented into multiple independent modules: speech recognition module, video awakening module, and traditional remote control module. Each module can operate independently or in combination, allowing the TV to support diverse awakening methods (speech, video, traditional) while maintaining flexible power management by activating only the necessary modules based on user needs.
Solution Approach 2:
The TV system implements multi-functionality by integrating multiple awakening mechanisms into a single unified standby system. The same standby state can be exited through various methods (speech recognition, video input, remote control), making the system adaptable to different user preferences and scenarios without requiring separate systems for each function.
3Use of energy by moving object
If complete power down during standby is used, then energy saving is maximized, but system responsiveness and CPU processing capability deteriorate
Solution Approach 1:
The system applies local quality by differentiating power management strategies across different system components. Critical components needed for speech recognition and video processing maintain higher readiness levels with moderate power consumption, while non-essential components enter deeper sleep states. This localized approach to power management ensures that CPU processing capability is preserved where needed while maximizing energy savings overall.
Data Source
AI summary
A TV awakening method based on speech recognition, smart TV and storage medium. By setting a standby state of the smart TV to the standby state of screen being off without powering off, the user's speech can be received and recognized in real time to wake up and control the smart TV, and speech recognition has been efficiently applied, smart turning-on and turning-off in real time are realized, and diversified requirements of the user are met.