cepstral analysis; mean square error methods; speech recognition; statistical analysis; ASR; MMSE estimation; acceleration coefficients; cepstral mean-subtracted MFCC; compressive nonlinearities; consistent method; mel-frequency cepstral features; minimum mean square error estimation; noise robust automatic speech recognition; power nonlinearity; statistical assumptions; Estimation; Mel frequency cepstral coefficient; Noise; Noise measurement; Speech; Speech recognition; MMSE estimation; cepstral feaures; feature enhancement; power vs. logarithmic non-linearity; robust automatic speech recognition;
机译:频率倒谱特征的最小均方误差估计-理论上一致的方法
机译:使用新型失真模型的梅尔频率倒谱系数的最小均方误差估计
机译:使用Mel频率倒谱系数和线性预测倒谱系数功能进行人声折叠病理评估
机译:一种理论上一致的熔融频率谱特征的最小平均误差估计方法
机译:正交频分复用系统中最小二乘和最小均方误差信道估计的均方误差分析
机译:增强的GNSS微分校正最小均方误差估计对空间相关建模误差的敏感性
机译:使用新型失真模型的熔融谱系系数的最小平均平均误差估计
机译:关于无乘法的最小线性均方估计。