Head Pose Detection via Direct-to-Reverberant Energy Ratio
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Solution Overview
Problem
Intelligent automated assistants face challenges in determining whether a user is addressing them or another person/device, leading to inefficiencies and unnecessary resource usage, as they cannot accurately assess the user's intent from audio inputs alone.
Innovation Solution
The method involves determining a direct-to-reverberant energy ratio from audio input to infer the user's head pose, allowing the digital assistant to ascertain if the user is facing the device and thus intended to interact with it, thereby improving response efficiency and conserving resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the digital assistant responds to all audio inputs, then it ensures no user intent is missed, but it consumes excessive battery life and processing resources
Solution Approach 1:
The system performs preliminary analysis of audio inputs by calculating direct-to-reverberant energy ratios before full processing. This preliminary action filters out unlikely user-directed speech early in the pipeline, preventing unnecessary activation of the digital assistant and conserving battery life while maintaining reliable detection of actual user intent
2Speed
If the digital assistant activates for every audio input, then it maximizes responsiveness, but it reduces operational efficiency and increases unnecessary processing
Solution Approach 1:
The system applies partial action by using only the direct-to-reverberant energy ratio metric for initial filtering, rather than performing complete speech analysis on all inputs. This selective approach maintains fast response times for genuine user-directed speech while efficiently discarding irrelevant audio inputs, thereby improving operational efficiency without sacrificing responsiveness
3Ease of operation
If the digital assistant cannot determine user direction, then it remains simple in operation, but it loses the ability to accurately assess whether the user is addressing it
Solution Approach 1:
The system replaces complex mechanical or visual head pose detection mechanisms with an acoustic field-based approach using direct-to-reverberant energy ratio analysis. This substitution maintains ease of operation by using only the existing microphone array without adding cameras or other sensors, while achieving sufficient measurement precision to determine whether the user is facing the device through acoustic signal characteristics
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 approach enables the digital assistant to accurately determine user intent, reducing unnecessary responses and conserving battery life by determining if the user is facing the device, thus enhancing user interaction efficiency.
Implementation Method 1
receiving audio input
Implementation Method 2
determining a direct-to-reverberant energy ratio based on the audio input
Data Source
AI summary
Systems and processes for operating an intelligent automated assistant are provided. An examples process of operating an intelligent automated assistant includes, at an electronic device with one or more processors and memory, receiving audio input, determining a direct-to-reverberant energy ratio based on the audio input, and determining a head pose of a user based on the direct-to-reverberant energy ratio.