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Noise detection and separation arrangement, having neural network which forms classification signal giving indication of type of acoustic signal

机译:噪声检测和分离装置,具有形成分类信号的神经网络,可指示声音信号的类型

摘要

The arrangement includes at least one normalization unit (13) which normalizes respectively an amplitude (12) of a certain frequency range from the spectrum of the acoustic signal (1). A differentiation arrangement (15) differentiates the normalized amplitude (14) to time, and forms an absolute value of the differentiated amplitude. A neural network (18) includes input neurones which receive the differentiated amplitude or its absolute value of the certain frequency range, and output neurones which form a classification signal (22) classifying the acoustic signal according to its frequency spectrum, giving an indication of the type of acoustic signal.
机译:该装置包括至少一个归一化单元(13),其分别从声信号(1)的频谱归一化特定频率范围的幅度(12)。微分装置(15)将归一化幅度(14)微分为时间,并形成微分幅度的绝对值。神经网络(18)包括输入神经元,该神经元接收一定频率范围的微分振幅或其绝对值;以及输出神经元,形成根据信号的频谱对声信号进行分类的分类信号(22),从而指示声音信号的类型。

著录项

  • 公开/公告号DE19949637A1

    专利类型

  • 公开/公告日2001-04-19

    原文格式PDF

  • 申请/专利权人 KUEHNER DIETRICH;KIWITZ ANDRE;

    申请/专利号DE19991049637

  • 发明设计人 KUEHNER DIETRICH;KIWITZ ANDRE;

    申请日1999-10-14

  • 分类号G01H3/00;F03D7/00;G01M19/00;

  • 国家 DE

  • 入库时间 2022-08-22 01:10:12

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