“Askar - 130520”版本间的差异
来自cslt Wiki
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1. train models basend on MFCC parameters(MFCC_0_D_A) and compare with the previous experiment results. | 1. train models basend on MFCC parameters(MFCC_0_D_A) and compare with the previous experiment results. | ||
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2. finish the reasing of the tutorial. | 2. finish the reasing of the tutorial. | ||
2013年5月20日 (一) 04:57的最后版本
works finished:
1. extracted MFCC parameters(MFCC_0_D_A) and working on training UBM.
2. almost finished reading tutorial--A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models.
work plan:
1. train models basend on MFCC parameters(MFCC_0_D_A) and compare with the previous experiment results.
2. finish the reasing of the tutorial.
