实验中，采用美尔倒谱系数(MFCC)作为话者语音特征参数。
During the experiment, MFCC (Mel Frequency Ceptral Coefficient) is adopted to speaker speech feature parameters.
选用美尔倒谱系数及其差分作为语音识别的特征参数，来描述人耳的听觉频率非线性特性。
Selected for use MFCC and the difference and divided the characteristic parameter as phonetic recognition, to describe the non-linear characteristic of frequency of sense of hearing of ears of people.
系统提取的音频信号特征为线性预测美尔倒谱系数（LPCMCC），采用动态时间规整（DTW）的识别算法。
The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
系统提取的音频信号特征为线性预测美尔倒谱系数（LPCMCC），采用动态时间规整（DTW）的识别算法。
The audio signal feature, in this scheme, is the LPC Mel Cepstrum Coefficient (LPCMCC) and recognition algorithm is Dynamic Time Warping (DTW).
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