Voice Input Device Selection via SNR and Usage Frequency
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Solution Overview
Problem
Existing voice-control systems for electronic devices struggle with accurately selecting the correct device for executing a function when multiple devices with speech recognition services are present, especially when inputs are received simultaneously or overlapping in time.
Innovation Solution
An electronic device is equipped with a communication circuit, processor, and memory that calculates final probability values for external devices based on usage frequency and signal-to-noise ratio (SNR) magnitude, allowing it to select the most appropriate device for executing a voice-based command.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple speech recognition enabled devices are present in the environment, then the system provides more coverage and accessibility, but the accuracy of selecting the correct device for execution deteriorates when inputs are received simultaneously
Solution Approach 1:
The system changes the parameters used for device selection from simple proximity or signal strength to a composite probability score that incorporates usage frequency and signal-to-noise ratio. This allows the system to maintain accurate device selection even when multiple devices receive inputs simultaneously by evaluating historical usage patterns and current signal quality together.
2Ease of operation
If the system selects the closest device based on signal strength alone, then the selection process is simple and fast, but the user experience consistency deteriorates when the closest device is not the intended target
Solution Approach 1:
The system incorporates feedback from historical usage data to inform device selection. By analyzing which device the user typically interacts with in given situations, the system adjusts the probability scores to reflect actual user intent rather than just physical proximity. This feedback mechanism maintains selection simplicity while significantly improving reliability and user experience consistency.
3Speed
If the system processes voice inputs from multiple devices simultaneously, then the response time is reduced, but the accuracy of determining the intended target device deteriorates
Solution Approach 1:
The system performs preliminary actions by continuously monitoring and storing usage frequency data for each device in the background. When voice inputs are received simultaneously, this pre-collected information is immediately available to calculate probability scores, enabling fast and accurate target identification without requiring additional processing time during the actual selection event.
Data Source
AI summary
An electronic device and method are disclosed herein. The electronic device includes a communication circuit, a processor, and a memory. The processor implements the method, including: receiving, from each of one or more external devices receiving a voice signal of a user, via the communication circuit, a first probability value based on usage frequency, and a second probability value based on signal-to-noise (SNR) magnitude, calculating final probability values for each of the one or more external devices, based on respective first and second probability values of each of the one or more external devices, and selecting an external device from among the one or more external devices having a highest final probability value from among the calculated final probability values.