线性预测系数 meaning in English
linear prediction coefficients
Examples
- A neural network method for generrating the linear prediction coefficients of random sequences
一种求线性预测系数的神经网络方法 - In this paper , we use full pole model to obtain speech signal lpc , then deduce it ' s lpcc , and we use the lpcc difference to describe speaker ' s track dynamic movement
本文应用全极点模型，提取语音信号的线性预测系数，并推导出其倒谱系数，获得线性预测倒谱差分，用以描述说话人声道的动态变化。 - The quantized lp coefficients are replaced by the unquantized lp coefficients in the frequency domain expression of the feel weighted filter . the error signal has more similar envelope shape , and the hearing effect is better than before because the unquantized lp coefficients have more accuracy than quantized lp coefficients
由于未量化的线性预测系数具有更高的精度,因此,误差信号通过修正后的感觉加权滤波器以后,具有与语音信号谱更加相似的包络形状,从而更好地利用共振峰对误差的掩蔽效应,达到更佳的主观听觉效果。 - In the phase of training , it gets the sampling data from the wave files which were stored in the voice library by using the mci functions . then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method , so we get the templates used by speech - recognition , this templates were stored in the template library . in the state of recognition , after calculating the character vector of input voice , we compare it with the character vectors of templates , and then find the best one or refuse it
系统的组成模块与语音识别系统的基本构成模型基本一致，在训练过程中，通过调用mci （ mcimultimediacontrolinterface ）提供的函数从语音库中的波形文件中读取采样数据，分帧计算出由12维线性预测系数和12维线性预测倒谱系数构成的特征矢量，并按照聚类的方法进行训练，得到后续语音识别时需要的模板，存放于模板库中。