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。
Introduced in this paper is a speech controller based on fixed-point DSP ADSP2181, which adopts mel-scale frequency cepstrum coefficient as principal speech recogniti0n parameter.
本文介绍了一个基于定点数字信号处理器ADSP2181的语音控制器，着重讨论了其语音特征参数计算方法。
The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.
分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。
The improved method based on fuzzy entropy, which analyzed and distilled the weight of speech duration, average magnitudes, pitch frequency, formants and Mel-frequency cesptral coefficients.
分析了发音持续时间、平均振幅、基音频率，第一共振峰和Mel频率倒谱参数，并基于模糊熵理论提取了各参数的权重。
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