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GMM模型建立和mfcc参数的取得方法

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  • Update : 2022-05-04
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Introduction - If you have any usage issues, please Google them yourself
高斯模型就是用高斯概率密度函数(正态分布曲线)精确地量化事物,将一个事物分解为若干的基于高斯概率密度函数(正态分布曲线)形成的模型。
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GMM模型建立和mfcc参数的取得方法/
GMM模型建立和mfcc参数的取得方法/cmvnpdf.m
GMM模型建立和mfcc参数的取得方法/covfixer2.m
GMM模型建立和mfcc参数的取得方法/enframe.m
GMM模型建立和mfcc参数的取得方法/estS_generate.m
GMM模型建立和mfcc参数的取得方法/gauss.m
GMM模型建立和mfcc参数的取得方法/getargs.m
GMM模型建立和mfcc参数的取得方法/getmfcc.m
GMM模型建立和mfcc参数的取得方法/gminitial.m
GMM模型建立和mfcc参数的取得方法/gmmb_cmeans.m
GMM模型建立和mfcc参数的取得方法/gmmb_em.asv
GMM模型建立和mfcc参数的取得方法/gmmb_em.m
GMM模型建立和mfcc参数的取得方法/gmmb_em_init_cmeans1.m
GMM模型建立和mfcc参数的取得方法/gmmb_em_init_fcm1.m
GMM模型建立和mfcc参数的取得方法/gmminitial.m
GMM模型建立和mfcc参数的取得方法/init_fcm1.m
GMM模型建立和mfcc参数的取得方法/melbankm.m
GMM模型建立和mfcc参数的取得方法/test/
GMM模型建立和mfcc参数的取得方法/test.m
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GMM模型建立和mfcc参数的取得方法/test/s8.wav
GMM模型建立和mfcc参数的取得方法/train/
GMM模型建立和mfcc参数的取得方法/train.asv
GMM模型建立和mfcc参数的取得方法/train.m
GMM模型建立和mfcc参数的取得方法/train/s1.wav
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GMM模型建立和mfcc参数的取得方法/train/s4.wav
GMM模型建立和mfcc参数的取得方法/warning_wrap.m
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