Speech Detection Using Face-Gated Audio Activation
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Solution Overview
Problem
Existing speech recognition systems face challenges in determining user intention to interact, leading to inefficient and privacy-invasive 'always listening' modes, and difficulties in user-friendly interaction methods, particularly for children and those with compromised dexterity.
Innovation Solution
Implementing face detection as a precondition for audio recording, combined with visual prompts and additional verification steps such as gaze and mouth movement detection, to ensure intentional user interaction without continuous power consumption or button presses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If 'always listening' functionality is implemented to continuously detect wake words, then speech detection capability is improved, but privacy concerns increase and energy consumption increases
Solution Approach 1:
The system performs face detection as a preliminary action before enabling audio processing. The visual input device captures images and detects the presence of a user's face in advance, and only when a face is detected does the system activate the audio input device to listen for wake words. This preliminary visual verification ensures that audio processing only occurs when a user is physically present and likely intending to interact, thereby maintaining speech detection capability while significantly reducing unnecessary energy consumption from continuous listening.
2Reliability
If 'always listening' functionality is implemented to continuously detect wake words, then speech detection capability is improved, but privacy concerns increase
Solution Approach 1:
The system performs face detection as a preliminary action before enabling audio processing. The visual input device captures images and detects the presence of a user's face in advance, and only when a face is detected does the system activate the audio input device to listen for wake words. This preliminary visual verification ensures that audio processing only occurs when a user is physically present and likely intending to interact, thereby maintaining speech detection capability while significantly reducing unnecessary energy consumption from continuous listening.
3Measurement precision
If visual prompts are used to indicate when audio processing is activated, then user intention detection is improved, but interaction reliability decreases for users with compromised dexterity
Solution Approach 1:
The system replaces mechanical interaction (button presses) with optical detection (face and gaze detection). Instead of requiring users to physically press buttons to indicate their intention to speak, the system uses the visual input device to detect the presence of a face and the direction of gaze. This substitution of mechanical interaction with optical detection maintains high user intention detection accuracy while significantly improving ease of operation for users with compromised dexterity, including children who cannot coordinate button presses with speech timing.
4Measurement precision
If button press is required to activate audio processing, then user intention detection is improved, but ease of operation decreases for children and users with compromised dexterity
Solution Approach 1:
The system replaces mechanical interaction (button presses) with optical detection (face and gaze detection). Instead of requiring users to physically press buttons to indicate their intention to speak, the system uses the visual input device to detect the presence of a face and the direction of gaze. This substitution of mechanical interaction with optical detection maintains high user intention detection accuracy while significantly improving ease of operation for users with compromised dexterity, including children who cannot coordinate button presses with speech timing.
Data Source
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AI summary
Methods and systems for processing user input to a computing system are disclosed. The computing system has access to an audio input and a visual input such as a camera. Face detection is performed on an image from the visual input, and if a face is detected this triggers the recording of audio and making the audio available to a speech processing function. Further verification steps can be combined with the face detection step for a multi-factor verification of user intent to interact with the system.