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)
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:
Assignee:
QUALCOMM INC (US)
REN YUWEI (CN)
ZIVNEY MATTHEW (US)
HUANG YIN (CN)
CHOY EDDIE (US)
PATEL CHIRAG SURESHBHAI (US)
REN YUWEI (CN)
ZIVNEY MATTHEW (US)
HUANG YIN (CN)
CHOY EDDIE (US)
PATEL CHIRAG SURESHBHAI (US)
International Classes:
H04R9/06
Foreign References:
CN114390406A | 2022-04-22 | |||
CN112533115A | 2021-03-19 | |||
US20220141578A1 | 2022-05-05 | |||
US20180167732A1 | 2018-06-14 |
Attorney, Agent or Firm:
NTD PATENT & TRADEMARK AGENCY LTD. (CN)
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