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SPEAKER IDENTIFICATION AND VERIFICATION SYSTEM.

机译:扬声器识别和验证系统。

摘要

The present invention relates to a speaker recognition method and system which applies adaptive component weighting to each frame of speech for attenuating non-vocal tract components and normalizing speech components. A linear predictive all pole model is used to form a new transfer function having a moving average component. A normalized spectrum is determined from the new transfer function. The normalized spectrum is defined having improved characteristics for speech components. From the improved speech components, improved speaker recognition over a channel is obtained.
机译:说话人识别方法和系统本发明涉及一种说话人识别方法和系统,该方法和系统将自适应分量加权应用于语音的每一帧,以衰减非声道分量并归一化语音分量。线性预测所有极点模型用于形成具有移动平均值分量的新传递函数。从新的传递函数确定归一化频谱。定义归一化频谱以改善语音成分的特性。从改进的语音成分中,获得在通道上改进的说话者识别。

著录项

  • 公开/公告号MX9603686A

    专利类型

  • 公开/公告日1997-12-31

    原文格式PDF

  • 申请/专利权人 RUTGERS UNIVERSITY;

    申请/专利号MX19960003686

  • 发明设计人 KHALED T. ASSALEH;RICHARD J. MAMMONE;

    申请日1995-02-28

  • 分类号G10L5/06;G10L9/00;

  • 国家 MX

  • 入库时间 2022-08-22 02:57:31

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