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    Piercing die whose punch has different amounts of chamfer at different outer peripheral edge portions
    5.
    发明授权
    Piercing die whose punch has different amounts of chamfer at different outer peripheral edge portions 失效
    在不同的外部边缘部分，PUNCH具有不同的切割量

    公开(公告)号：US5235881A

    公开(公告)日：1993-08-17

    申请号：US873120

    申请日：1992-04-24

    申请人： Kazuhiro Sano ,  Yutaka Suzuki ,  Shingo Nishimura

    发明人： Kazuhiro Sano ,  Yutaka Suzuki ,  Shingo Nishimura

    IPC分类号： B21D28/16

    CPC分类号： B21D28/16 ,  Y10T83/06 ,  Y10T83/9425 ,  Y10T83/9428 ,  Y10T83/9435

    摘要： A piercing die including a punch and a die cooperating with each other to effect a piercing operation on a metallic workpiece sheet, the punch having an outer peripheral edge having a closed profile at a working end thereof. The outer peripheral edge of the punch has a first and a second chamfered portion which are formed such that the amount of chamfer of the first chamfered portion is larger than that of the second chamfered portion. The first and second chamfered portions are formed along large-curvature and small-curvature portions of the closed profile of the punch, respectively, and/or along acute and obtuse outer peripheral portions of the punch whose working end face is inclined with respect to the direction perpendicular to the piercing direction. A piercing method using the punch and die is also included.

    摘要翻译： 包括冲头和模具的穿孔模具相互配合以在金属工件片材上进行刺穿操作，所述冲头具有在其工作端处具有闭合轮廓的外周边缘。 冲头的外周边缘具有第一和第二倒角部分，其形成为使得第一倒角部分的倒角量大于第二倒角部分的倒角量。 第一和第二倒角部分分别沿着冲头的闭合轮廓的大曲率和小曲率部分形成，和/或沿着冲头的尖锐钝角的外周部分形成，其工作端面相对于 方向垂直于穿刺方向。 还包括使用冲头和模具的穿孔方法。

    Speaker recognition system using neural network
    6.
    发明授权
    Speaker recognition system using neural network 失效
    使用神经网络的扬声器识别系统

    公开(公告)号：US5461697A

    公开(公告)日：1995-10-24

    申请号：US150785

    申请日：1993-11-12

    申请人： Shingo Nishimura ,  Masashi Miyakawa ,  Masayuki Umino ,  Shigenobu Nonaka

    发明人： Shingo Nishimura ,  Masashi Miyakawa ,  Masayuki Umino ,  Shigenobu Nonaka

    IPC分类号： G10L15/16 ,  G10L17/00 ,  G10L9/00

    CPC分类号： G10L17/18 ,  G10L15/16

    摘要： A speaker recognition system for recognizing a speaker from an input voice using a neural network, in which a feature quantity extracted from the input voice is timewise averaged to create an input pattern to the neural network. The averaging technique is such that the input voice is equally divided timewise into a plurality of blocks in a simple manner and that such feature quantity is averaged every block. The feature quantity includes a frequency characteristic, pitch frequency, linear prediction coefficient, and partial self-correlation (PARCOR) coefficient of the voice.

    摘要翻译： 一种用于使用神经网络从输入语音识别扬声器的扬声器识别系统，其中从输入语音提取的特征量被时间平均以向神经网络创建输入模式。 平均技术使得输入语音以简单的方式被均匀地分成多个块，并且每个块对这些特征量进行平均化。 特征量包括声音的频率特性，音调频率，线性预测系数和部分自相关（PARCOR）系数。