Mapping the filtered MFCC to loudness the process of human perception is simulated.

将滤波后的参数映射为响度，由此模拟人的感知过程。

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The experiment results show that the system built on DWT-MFC has better noise robustness than on LPCC and MFCC.

实验表明，与（LPCC）和（MFCC）参数相比，采用DWT-MFC参数使系统的噪声鲁棒性得到显著的提高。

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During the experiment, MFCC (Mel Frequency Ceptral Coefficient) is adopted to speaker speech feature parameters.

实验中，采用美尔倒谱系数(MFCC)作为话者语音特征参数。

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