线性预测倒谱系数,LPCC
linear predict code cepstral coefficients线性预测编码倒谱系数
3)perceptual linear predictive cepstrum coefficient感知线性预测倒谱系数
1.The perceptual linear predictive cepstrum coefficient is extracted from the reconstructed spectrum and is combined with .算法基于重建浊音频谱提取感知线性预测倒谱系数,与基音相组合作为说话人的语音特征参数矢量,采用高斯混合模型对说话人进行建模。
4)LP Mel Cepstrum Coeficient(LPMCC)线性预测美尔倒谱系数
5)LPCC线形预测倒谱系数
1.This article unified the broad Mel frequency cepstrum coefficient(MFCC) and linear forecast cepstrum coefficient(LPCC) as the characteristic parameter of the rolling bearing audio signals,and used neural network method that had the strong learning capability to carry on the fault diagnosis.本文结合语音识别中运用较广的美尔频率倒谱系数(MFCC)和线形预测倒谱系数(LPCC)作为滚动轴承音频信号的特征参数,并使用具有强学习能力的神经网络方法进行故障诊断,最后依靠Dempster-Shafrg(D-S)证据理论进行分析得出可信度高的判定结果。
6)linear prediction cepstrum coefficient线性预测倒谱参数
1.It regards linear prediction cepstrum coefficient(LPCC) as the characteristic parameter,and adopts the dynamic time warping(DTW) model.系统以线性预测倒谱参数为特征参数,采用动态时间归整识别模型,在小词汇量特定人条件下,该系统的正识率可达到98%以上,在非特定人情况下正识率在93%以上。
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数理统计预测法(见发生量预测)数理统计预测法(见发生量预测)  数理统计预测法见发生皿预测。