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METHOD FOR VOICE RECOGNITION OF A SPEAKER IMPLEMENTING A PREDICTIVE MODEL, PARTICULARLY FOR ACCESS CONTROL APPLICATIONS

机译:实施预测模型的扬声器语音识别方法,特别是对于访问控制应用

摘要

The invention discloses a method for the voice recognition of a speaker using a q-order predictive model, comprising a step for extracting the statistical characteristics including a step of digital acquisition of the speaker's voice sample, corresponding to one or several utterances, a step of converting this voice sample into a sequence of vectors of size p, obtained from a series of analysis windows of average size T and an average spacing I, and a step of determining q+1 matrices from this vector sequence. The average size T is of duration of less than 10 ms and the average spacing I of a duration of less than 4.5 ms. The invention is useful in a sound lock including an electroacoustical conversion system (HP,6) and a recorded program implementation system (5) for the method.
机译:本发明公开了一种使用q阶预测模型对说话者进行语音识别的方法,包括提取统计特征的步骤,包括数字获取对应于一个或多个话语的说话者语音样本的步骤,将该语音样本转换为大小为p的向量序列,该序列是从一系列平均大小T和平均间隔I的分析窗口中获得的,以及从该向量序列确定q + 1矩阵的步骤。平均大小T的持续时间小于10毫秒,平均间隔I的持续时间小于4.5毫秒。本发明在包括电声转换系统(HP,6)和用于该方法的记录程序实现系统(5)的声锁中是有用的。

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