Attention-Aware Voice Assistant Triggering to Cut False Responses
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Solution Overview
Problem
Intelligent automated assistants struggle to accurately determine when to respond to user speech, leading to unnecessary battery consumption and processing power usage due to false positive responses.
Innovation Solution
An electronic device uses audio and image sensors to detect user attention and speech intent, determining whether audio data is intended for the device by analyzing a subset of the scene, allowing it to initiate tasks only when the user's attention is directed towards it.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant continuously monitors audio data to detect user speech, then the assistant can respond to user requests, but battery consumption and processing power usage increase due to false positive responses
Solution Approach 1:
The system performs preliminary action by analyzing video data to detect user attention and gaze direction before processing audio data. This preliminary check filters out false positive speech detections by ensuring the user is actually looking at the device before initiating full speech processing, thereby reducing unnecessary battery consumption while maintaining accurate speech recognition.
Solution Approach 2:
The system segments the detection process into two independent stages: first analyzing video data for user attention and gaze direction, then analyzing audio data for speech intent. This segmentation allows the system to process only the necessary data types when both conditions are met, reducing overall processing load and battery consumption while maintaining high detection accuracy.
2Measurement precision
If the digital assistant processes audio data to determine speech intent, then the assistant can accurately respond to user requests, but processing power and computational resources increase
Solution Approach 1:
The system performs preliminary action by using video data analysis to determine user attention and gaze direction before processing audio data for speech intent. This preliminary filter ensures that computational resources are only dedicated to audio processing when the user is actually looking at the device, thereby reducing processing power consumption while maintaining high speech intent detection accuracy.
Solution Approach 2:
The system applies partial action by only processing audio data when video data indicates user attention is directed toward the device. This selective processing approach avoids excessive computational resources being wasted on audio analysis when the user is not looking at the device, while still maintaining accurate speech intent detection when needed.
3Reliability
If the digital assistant uses both audio and video sensors to detect user attention, then the interaction accuracy improves, but device complexity increases
Solution Approach 1:
The system segments the detection function into separate audio and video processing modules that operate independently. The video analysis module detects user attention and gaze direction, while the audio analysis module detects speech intent. This segmentation allows each module to be optimized independently and simplifies the overall system architecture compared to a unified complex sensor fusion approach.
Solution Approach 2:
The system uses video data analysis as a preliminary filter before audio processing. This approach leverages the complementary strengths of both sensor types while maintaining modular architecture - the video sensor provides contextual information about user attention, and the audio sensor provides speech detection, with the preliminary action filtering out false positives without requiring complex real-time fusion algorithms.
Data Source
AI summary
An example process includes: detecting audio data and video data, wherein the video data represents a scene; and in response to detecting the audio data and the video data: in accordance with a determination, based on the audio data and the video data, that the scene includes a user whose attention is directed to the electronic device while the user is speaking and that a set of initiation criteria is satisfied: determining whether the audio data includes speech that is intended for the electronic device; and in accordance with a determination, based on the audio data and the video data, that the scene does not include a user whose attention is directed to the electronic device while the user is speaking: forgoing determining whether the audio data includes speech that is intended for the electronic device.