Multi-device Voice Control via Context-Aware Ranking
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Solution Overview
Problem
In smart home environments, controlling multiple devices via voice commands can be challenging when a main keyword specifying the response target is not included in the command, leading to unintended device activation due to proximity-based control methods.
Innovation Solution
A multi-device control system that performs voice recognition, calculates distances based on decibel information and voice signal metrics, and assigns response rankings by combining context-specific correction scores and distances to accurately identify the intended device for control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If distance-based control is used to select the nearest device, then ease of operation is improved, but reliability deteriorates due to unintended device activation
Solution Approach 1:
The system changes the selection parameter from purely distance-based to a composite ranking system that combines context-specific correction scores with distance metrics. This allows the system to adapt to different situations and user intentions, improving reliability while maintaining ease of operation.
Solution Approach 2:
The system introduces context-specific correction scores as an intermediary factor between the voice command and device selection. These scores act as a mediator that adjusts the final device ranking based on contextual information, preventing unintended activations while keeping the control process simple for users.
2Reliability
If main keyword inclusion is required in voice commands, then reliability is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-service by automatically determining user intent through context-specific correction scores without requiring explicit device naming in the voice command. The system serves itself by using environmental context and device states to resolve ambiguity, eliminating the need for users to include main keywords.
Solution Approach 2:
The system performs preliminary actions by pre-calculating context-specific correction scores based on device states, environmental context, and usage patterns before the voice command is processed. This preliminary preparation allows the system to quickly and accurately identify the intended device without requiring explicit user specification.
3Measurement precision
If context-specific correction scores are calculated and combined with distance, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the device selection process into distinct components: context-specific correction score calculation and distance-based ranking. By dividing the complex selection process into manageable segments, the system achieves high measurement precision while keeping each individual component relatively simple and maintainable.
Data Source
AI summary
Disclosed is a multi-device control method including: performing a voice recognition operation on a voice command generated from a sound source; identifying distances between each of the plurality of devices and the sound source; assigning response rankings to the devices by combining a context-specific correction score of each device corresponding to the voice command and the distances; and selecting a device to respond to the voice command from among the devices according to the response rankings.