Title:
能動的な空気伝播音の低減
Document Type and Number:
Japanese Patent JP6704041
Kind Code:
B2
Abstract:
Noises that are to be emitted by an aerial vehicle during operations may be predicted using one or more machine learning systems, algorithms or techniques. Anti-noises having equal or similar intensities and equal but out-of-phase frequencies may be identified and generated based on the predicted noises, thereby reducing or eliminating the net effect of the noises. The machine learning systems, algorithms or techniques used to predict such noises may be trained using emitted sound pressure levels observed during prior operations of aerial vehicles, as well as environmental conditions, operational characteristics of the aerial vehicles or locations of the aerial vehicles during such prior operations. Anti-noises may be identified and generated based on an overall sound profile of the aerial vehicle, or on individual sounds emitted by the aerial vehicle by discrete sources.
Inventors:
Beckman Brian C
Kimchi guru
Kimchi guru
Application Number:
JP2018512144A
Publication Date:
June 03, 2020
Filing Date:
August 22, 2016
Export Citation:
Assignee:
Amazon Technologies, Inc.
International Classes:
B64C39/02; B64C1/40; B64C27/08; G06N20/00; G10K11/178; H03H17/00
Domestic Patent References:
| JP2017502568A | ||||
| JP10049175A | ||||
| JP59114597A | ||||
| JP2013210679A | ||||
| JP8194489A | ||||
| JP2017009965A |
Foreign References:
| WO2007103644A2 | ||||
| US20130056581 |
Other References:
Sojeong Yoon, Sangil Park, Youmie Eom, Sunggeun Yoo,Advanced Sound Capturing Method with Adaptive Noise Reduction System for Broadcasting Multicopters,2015 IEEE International Conference on Consumer Electronics(ICCE),2015年 1月 9日,第26頁-第29頁
Attorney, Agent or Firm:
Nobukazu Ito