Audio-based user engagement detection

The system uses audio-based user engagement detection through proximity, angle, and orientation data to enhance user interaction by accurately determining engagement without wake words, facilitating efficient voice command processing and improved dialog management.

WO2026128430A1 Publication Date: 2026-06-18AMAZON TECH INC
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
AMAZON TECH INC
Filing Date
2025-12-09
Publication Date
2026-06-18

AI Technical Summary

⚠Technical Problem

Existing electronic devices struggle to accurately determine user engagement without relying on wake words, which limits their effectiveness in processing user inputs and providing responsive interactions.

⚗Method used

The system employs audio-based user engagement detection using proximity, angle, and orientation data to determine if speech is directed to the device, leveraging machine learning models like Deep Neural Networks to classify user engagement without requiring wake words.

🎯Benefits of technology

Enables effective and responsive interaction with users by accurately detecting engagement, allowing for seamless voice command processing and improved dialog management, even in multi-user scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

A system can operate a speech-controlled device to perform user engagement detection (UED) processing to determine whether a user is engaged with the device without requiring a wakeword. For example, the device may extract audio features from audio data and process these audio features using a classifier to estimate user engagement. Relevant features include an estimated distance to a user, a relative angle to the user, and an estimated direction in which the user is facing. Based on the user's distance, relative angle, and facing direction, the classifier may determine that the user is engaged with the device and / or estimate an amount of engagement.
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