“2014年12月28日-SGR”版本间的差异

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(以“1. speech transformed to image, classification 2. [pass] MFCC+ 3. EGG usage. insertion is not important 4. co-training. GMM-HMM adaption. class-based LM adaptation....”为内容创建页面)
 
 
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1. speech transformed to image, classification
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1. speech transformed to image, classification<br/>
2. [pass] MFCC+  
+
2. [pass] MFCC+ <br/>
3. EGG usage. insertion is not important
+
3. EGG usage. insertion is not important<br/>
4. co-training. GMM-HMM adaption. class-based LM adaptation.
+
4. co-training. GMM-HMM adaption. class-based LM adaptation.<br/>
5. [conflict] CNN.tone information. F0, FFV.
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5. [conflict] CNN.tone information. F0, FFV.<br/>
6. [important] spatial histogram equalization. MAS-HEQ
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6. [important] spatial histogram equalization. MAS-HEQ<br/>
7. blind spatial subtraction.
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7. blind spatial subtraction.<br/>
8. denoising DAE
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8. denoising DAE. multi-speaker.<br/>
 +
9. trainseg scale conjugate gradient.<br/>
 +
10. [to text group] RNN RAE.<br/>
 +
11. whisper<br/>
 +
12. [1272 to text group]mixture-model vMF<br/>
 +
13. [1241 to wang]<br/>
 +
14. [1240 to xiangyu]<br/>
 +
15. [1161 to xiangyu]<br/>
 +
16. [1148 to wang]<br/>
 +
17. [1057]  ultranc? boundary<br/>
 +
18. [1038 to wang & yinshi]<br/>
 +
19. [1032 to xuewei] wiener filtering<br/>
 +
20. [1026 to xuewei]<br/>

2014年12月28日 (日) 08:45的最后版本

1. speech transformed to image, classification
2. [pass] MFCC+
3. EGG usage. insertion is not important
4. co-training. GMM-HMM adaption. class-based LM adaptation.
5. [conflict] CNN.tone information. F0, FFV.
6. [important] spatial histogram equalization. MAS-HEQ
7. blind spatial subtraction.
8. denoising DAE. multi-speaker.
9. trainseg scale conjugate gradient.
10. [to text group] RNN RAE.
11. whisper
12. [1272 to text group]mixture-model vMF
13. [1241 to wang]
14. [1240 to xiangyu]
15. [1161 to xiangyu]
16. [1148 to wang]
17. [1057] ultranc? boundary
18. [1038 to wang & yinshi]
19. [1032 to xuewei] wiener filtering
20. [1026 to xuewei]