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Least squares method for accurate speech analysis

机译:最小二乘方法,用于准确语音分析

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摘要

This paper proposes a strategy to improve the performance of the linear prediction method used for speech analysis. The least squares (LS) method, one of system identification methods, is utilized to estimate the coefficients of the all-pole filter and the gain parameter. For the input estimation, a simple and effective method is proposed in which the operation of thresholding is used. It is revealed that the LS method provides a good performance independently on the pitch period of speech.
机译:本文提出了一种提高用于语音分析的线性预测方法的性能的策略。利用系统识别方法之一的最小二乘(LS)方法来估计全极滤波器的系数和增益参数。为了输入估计,提出了一种简单且有效的方法,其中使用阈值处理的操作。据透露,LS方法在音调期间独立提供了良好的性能。

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