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Patent Searching and Data


Title:
MACHINE-LEARNING-BASED DIAPHRAGM EXCURSION PREDICTION FOR SPEAKER PROTECTION
Document Type and Number:
WIPO Patent Application WO/2024/087050
Kind Code:
A1
Abstract:
Certain aspects of the present disclosure provide techniques and apparatus for machine-learning-based diaphragm excursion prediction for speaker protection. One example method generally includes receiving an indication of one or more parameters associated with driving a speaker, predicting, using a machine learning model, a displacement of a diaphragm of the speaker based on the indication of the one or more parameters, and taking one or more actions based on the predicted displacement.

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Inventors:
REN YUWEI (US)
ZIVNEY MATTHEW (US)
HUANG YIN (US)
CHOY EDDIE (US)
PATEL CHIRAG SURESHBHAI (US)
Application Number:
PCT/CN2022/127609
Publication Date:
May 02, 2024
Filing Date:
October 26, 2022
Export Citation:
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Assignee:
QUALCOMM INC (US)
REN YUWEI (CN)
ZIVNEY MATTHEW (US)
HUANG YIN (CN)
CHOY EDDIE (US)
PATEL CHIRAG SURESHBHAI (US)
International Classes:
H04R9/06
Foreign References:
CN114390406A2022-04-22
CN112533115A2021-03-19
US20220141578A12022-05-05
US20180167732A12018-06-14
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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