首页> 外国专利> LEARNING METHOD FOR RECOGNIZING TRANSPORTATION SYSTEM BASED ON SOUND DATA, METHOD AND APPARATUS FOR RECOGNIZING TRANSPORTATION SYSTEM BASED ON SOUND DATA BY USING SAME

LEARNING METHOD FOR RECOGNIZING TRANSPORTATION SYSTEM BASED ON SOUND DATA, METHOD AND APPARATUS FOR RECOGNIZING TRANSPORTATION SYSTEM BASED ON SOUND DATA BY USING SAME

机译:基于声音数据的交通运输系统识别方法,基于声音数据的交通运输系统识别方法和装置

摘要

The present invention relates to a learning method for recognizing a transportation system based on sound data, which enables determination of a type of the transportation system taken by a user based on sound data of the surrounding of the user and to a method and an apparatus for recognizing a transportation system based on sound data by using the same. More specifically, reference information for determining a type of a transportation system can be learned through machine learning, based on a pattern of unique frequency spectrum included in the sound generated by a particular transportation system which is independent from the sounds only existing in particular times, such as a horn sound and sounds generated when a door opens and closes, or when accelerated or decelerated, etc. The sound of the transportation system taken by the user is compared based on the learned reference information to enable determination of a type of the transportation system.;COPYRIGHT KIPO 2016
机译:用于识别基于声音数据的运输系统的学习方法技术领域本发明涉及一种用于基于声音数据识别运输系统的学习方法,其能够基于用户周围的声音数据确定用户所采用的运输系统的类型,并且涉及一种用于通过使用声音数据识别运输系统。更具体地,可以基于包括在由特定运输系统产生的声音中的独特频谱的模式,通过机器学习来学习用于确定运输系统的类型的参考信息,该独特频谱的模式与仅在特定时间存在的声音无关,例如,喇叭声和在门打开或关闭时或在加速或减速时产生的声音等。基于所学习的参考信息,比较用户所采取的运输系统的声音,从而能够确定运输的类型系统。; COPYRIGHT KIPO 2016

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