Algorithm of piecewise linear predictive coding for speech formant frequency estimation 语音信号共振峰频率估计的分段线性预测算法
Al present, the linear predictive coding ( LPC ) is the best method for voice analysis. 线性预测编码(LPC)(LPC)是当今语音分析中最好的方法。
LSP parameters can be obtained by solving an N-order non-linear equation relating to the linear predictive coding ( LPC ) coefficients. LSP参数可以通过求解一个与线性预测系数(LPC)相关的非线性N阶方程得到。
The extraction of features of Voiceprint Recognition System. The paper describes the sound channel model, Linear Predictive Coding(LPC) ( LPC ), Linear Predictive Cepstral Coefficients and Mel-Frequency Cepstral Coefficients. 2. 详细阐述了声道模型、线性预测编码(LPC)(LPC)分析、LPC倒谱系数、Mel倒谱系数的求解;2、声纹识别的识别方法和模型。
The most basic low-rate speech coding used is linear predictive coding ( LPC ). LPC-10 and MELP vocoder are typical successful use of LPC. 最基本的低速率语音编码算法都采用线性预测编码(LPC)(LPC)技术,LPC-10声码器和MELP声码器都是成功应用LPC技术的典范。