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基于神经网络的说话人识别

于 2022-03-24 发布 文件大小:625.49 kB
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说话人识别或语音识别是认识到人们从他们的声音的任务。这种系统提取语音特征,它们建模和使用它们来认出的人从他的声音。说话人识别有历史约会回一些四个几十年来,几个模拟滤波器的输出在哪里上匹配的时间的平均值。说话人识别使用已发现不同个体之间的语音声学特征。这些声音的模式反映这两个解剖 (例如,大小和形状的喉咙和口腔) 和学到的行为模式 (例如,音调,演讲风格)。这个学习模式纳入语音模板 (后者称为"眼纹,声纹")

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