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1)  Dynamic MFCC
动态MFCC
1.
Experimental results show that the acoustic characteristics of speech were better represented by Dynamic MFCC, therefore, the results of the experiment show that the DET curves are closer to origin, both Miss Probability and False Alarm Probability have been lower, EER was decreased by more than 20% relatively for both Database A and B.
实验结果表明:动态MFCC能更好地反映各种声学特征,因此使实验结果的DET曲线都更接近于原点,使得拒识率和误识率都有所降低,对两个数据库A和B,EER都相对下降20%以上。
2)  MFCC
MFCC参数
1.
Speaker Identification in Chinese Whispered Speech Based on Modified-MFCC;
基于修正MFCC参数汉语耳语音的话者识别
3)  extracting feature vectors with weighted MFCC
加权MFCC
4)  MFCC parameter
MFCC参数
5)  mel-frequency cepstral coefficients (MFCC)
MFCC(mel-frequencycepstralcoefficient)
6)  High order MFCC
高阶MFCC
补充资料:动态
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