DETECTION OF DANGER NOISES
The invention relates to detection of danger noises, and particularly to a training system (10) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at leastone interface (12) for inputting training data (15) containing an audio signal (16) and a target rea...
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creator | FIERES JULIAN PETRICH ANJA LOVISON DEBORA ADE FLORIAN HANSON LUCAS |
description | The invention relates to detection of danger noises, and particularly to a training system (10) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at leastone interface (12) for inputting training data (15) containing an audio signal (16) and a target reaction signal (18) in each case, an evaluation unit (20) that forms an artificial neural network (22) and is configured for forward propagation of the artificial neural network (22) with training data (14) in order to calculate an actual reaction signal (24), and calculating weightings through backward propagation of the target reaction signal (18) in the artificial neural network (22), wherein the weightings are configured to be stored in the vehicle control unit for detecting accident sounds.
本发明涉及危险噪声的检测。尤其涉及一种用于检测危险噪声、特别是事故噪声的车辆控制装置的训练系统(10),该训练系统具有:至少一个接口(12),用于获得分别具有音频信号(16)和目标响应信号(18)的训练数据(14);评估单元(20),评估单元形成人工神经网络(22)并且被设立成:向人工神经网络(22)前馈训练数据(14),以便获知实际响应信号(24),并且通过在人工神经网络(22)中的目标响应信号(18)的反馈来获知权重,其中,权重被设立成存储在 |
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本发明涉及危险噪声的检测。尤其涉及一种用于检测危险噪声、特别是事故噪声的车辆控制装置的训练系统(10),该训练系统具有:至少一个接口(12),用于获得分别具有音频信号(16)和目标响应信号(18)的训练数据(14);评估单元(20),评估单元形成人工神经网络(22)并且被设立成:向人工神经网络(22)前馈训练数据(14),以便获知实际响应信号(24),并且通过在人工神经网络(22)中的目标响应信号(18)的反馈来获知权重,其中,权重被设立成存储在</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES ; MEASURING ; PERFORMING OPERATIONS ; PHYSICS ; TESTING ; TRANSPORTING ; VEHICLES IN GENERAL ; VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR</subject><creationdate>2019</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190726&DB=EPODOC&CC=CN&NR=110057441A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25543,76294</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190726&DB=EPODOC&CC=CN&NR=110057441A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>FIERES JULIAN</creatorcontrib><creatorcontrib>PETRICH ANJA</creatorcontrib><creatorcontrib>LOVISON DEBORA</creatorcontrib><creatorcontrib>ADE FLORIAN</creatorcontrib><creatorcontrib>HANSON LUCAS</creatorcontrib><title>DETECTION OF DANGER NOISES</title><description>The invention relates to detection of danger noises, and particularly to a training system (10) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at leastone interface (12) for inputting training data (15) containing an audio signal (16) and a target reaction signal (18) in each case, an evaluation unit (20) that forms an artificial neural network (22) and is configured for forward propagation of the artificial neural network (22) with training data (14) in order to calculate an actual reaction signal (24), and calculating weightings through backward propagation of the target reaction signal (18) in the artificial neural network (22), wherein the weightings are configured to be stored in the vehicle control unit for detecting accident sounds.
本发明涉及危险噪声的检测。尤其涉及一种用于检测危险噪声、特别是事故噪声的车辆控制装置的训练系统(10),该训练系统具有:至少一个接口(12),用于获得分别具有音频信号(16)和目标响应信号(18)的训练数据(14);评估单元(20),评估单元形成人工神经网络(22)并且被设立成:向人工神经网络(22)前馈训练数据(14),以便获知实际响应信号(24),并且通过在人工神经网络(22)中的目标响应信号(18)的反馈来获知权重,其中,权重被设立成存储在</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</subject><subject>MEASURING</subject><subject>PERFORMING OPERATIONS</subject><subject>PHYSICS</subject><subject>TESTING</subject><subject>TRANSPORTING</subject><subject>VEHICLES IN GENERAL</subject><subject>VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZJBycQ1xdQ7x9PdT8HdTcHH0c3cNUvDz9wx2DeZhYE1LzClO5YXS3AyKbq4hzh66qQX58anFBYnJqXmpJfHOfoaGBgam5iYmho7GxKgBACBoIAU</recordid><startdate>20190726</startdate><enddate>20190726</enddate><creator>FIERES JULIAN</creator><creator>PETRICH ANJA</creator><creator>LOVISON DEBORA</creator><creator>ADE FLORIAN</creator><creator>HANSON LUCAS</creator><scope>EVB</scope></search><sort><creationdate>20190726</creationdate><title>DETECTION OF DANGER NOISES</title><author>FIERES JULIAN ; PETRICH ANJA ; LOVISON DEBORA ; ADE FLORIAN ; HANSON LUCAS</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110057441A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES</topic><topic>MEASURING</topic><topic>PERFORMING OPERATIONS</topic><topic>PHYSICS</topic><topic>TESTING</topic><topic>TRANSPORTING</topic><topic>VEHICLES IN GENERAL</topic><topic>VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>FIERES JULIAN</creatorcontrib><creatorcontrib>PETRICH ANJA</creatorcontrib><creatorcontrib>LOVISON DEBORA</creatorcontrib><creatorcontrib>ADE FLORIAN</creatorcontrib><creatorcontrib>HANSON LUCAS</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>FIERES JULIAN</au><au>PETRICH ANJA</au><au>LOVISON DEBORA</au><au>ADE FLORIAN</au><au>HANSON LUCAS</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>DETECTION OF DANGER NOISES</title><date>2019-07-26</date><risdate>2019</risdate><abstract>The invention relates to detection of danger noises, and particularly to a training system (10) for a vehicle control unit for detecting hazard sounds, in particular accident sounds, that has at leastone interface (12) for inputting training data (15) containing an audio signal (16) and a target reaction signal (18) in each case, an evaluation unit (20) that forms an artificial neural network (22) and is configured for forward propagation of the artificial neural network (22) with training data (14) in order to calculate an actual reaction signal (24), and calculating weightings through backward propagation of the target reaction signal (18) in the artificial neural network (22), wherein the weightings are configured to be stored in the vehicle control unit for detecting accident sounds.
本发明涉及危险噪声的检测。尤其涉及一种用于检测危险噪声、特别是事故噪声的车辆控制装置的训练系统(10),该训练系统具有:至少一个接口(12),用于获得分别具有音频信号(16)和目标响应信号(18)的训练数据(14);评估单元(20),评估单元形成人工神经网络(22)并且被设立成:向人工神经网络(22)前馈训练数据(14),以便获知实际响应信号(24),并且通过在人工神经网络(22)中的目标响应信号(18)的反馈来获知权重,其中,权重被设立成存储在</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC ORINFRASONIC WAVES MEASURING PERFORMING OPERATIONS PHYSICS TESTING TRANSPORTING VEHICLES IN GENERAL VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR |
title | DETECTION OF DANGER NOISES |
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