Internal-noise-source filtering for active acoustic sensing

EP4599601A1Active Publication Date: 2025-08-13GOOGLE LLC
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Patent Information

Application Number
EP2023848366
Authority / Receiving Office
EP · EP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2023-12-29
Publication Date
2025-08-13
Estimated Expiration
2043-12-29

AI Technical Summary

Technical Problem

Existing wireless hearables face challenges in performing audioplethysmography due to interference from internal noise sources generated by operations such as audio rendering, active noise cancellation, and transparency mode, which affect the sensitivity and accuracy of voice processing features like voice activity detection, speech recognition, and conversation detection.

Method used

Implementing internal-noise-source filtering techniques to attenuate interference caused by these operations within the received ultrasound signals, using adaptive filters and noise reference signals to enhance the signal-to-noise ratio for accurate vocalization detection.

Benefits of technology

Enhances the sensitivity and accuracy of audioplethysmography, enabling effective voice processing features like voice activity detection, speech recognition, and conversation detection while the hearable performs other operations.

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Abstract

Techniques and apparatuses are described for performing internal-noise-source filtering for active acoustic sensing. With internal-noise-source filtering (202), interference caused by a hearable (102) performing other operations (e.g., rendering audio content (204), performing active noise cancellation (206), or operating in accordance with a transparency mode (214)) can be attenuated within a received ultrasound signal to improve sensitivity and accuracy for audioplethysmography. This performance improvement enables audioplethysmography to be performed while the hearable (102) performs these other operations. Furthermore, it improves the ability of audioplethysmography to be used for voice processing, which can include voice activity detection, speech recognition, and / or conversation detection.
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