“ASR:2015-04-13”版本间的差异
来自cslt Wiki
（以“==Speech Processing == === AM development === ==== Environment ==== * grid-11 often shut down automatically, too slow computation speed. ==== RNN AM==== * details...”为内容创建页面） |
（→Text Processing） |
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| 第40行： | 第40行： | ||
===tag LM=== | ===tag LM=== | ||
* similar word extension in FST | * similar word extension in FST | ||
| − | :* check the formula using Bayes and experiment | + | :* will check the formula using Bayes and experiment |
| − | :* add more test data | + | :* fixed the bug using the big-lm. |
| − | :* test the baseline(no weight) and different weight method | + | :* will add more test data |
| + | :* will test the baseline(no weight) and different weight method | ||
====RNN LM==== | ====RNN LM==== | ||
| 第50行： | 第51行： | ||
:* check the lstm-rnnlm code about how to Initialize and update learning rate.(hold) | :* check the lstm-rnnlm code about how to Initialize and update learning rate.(hold) | ||
| − | ====W2V based | + | ====W2V based document classification==== |
| − | * | + | * some result about VMF model [http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=lr&step=view_request&cvssid=353] |
| − | + | * will try max-method | |
| − | * | + | |
| − | + | ||
===Translation=== | ===Translation=== | ||
* v5.0 demo released | * v5.0 demo released | ||
| 第60行： | 第59行： | ||
===Sparse NN in NLP=== | ===Sparse NN in NLP=== | ||
| − | * | + | * test the drop-out model and the performance gets a little improvement, need some result: |
| − | + | * test the order feature | |
| − | + | ||
===online learning=== | ===online learning=== | ||
* data is ready.prepare the ACL paper | * data is ready.prepare the ACL paper | ||
| + | :* modified the listNet SGD | ||
:* finish some test. | :* finish some test. | ||
:* test the result on different time. | :* test the result on different time. | ||
===relation classifier=== | ===relation classifier=== | ||
| − | * | + | * modified the drop-out method |
2015年4月13日 (一) 05:20的版本
Speech Processing
AM development
Environment
- grid-11 often shut down automatically, too slow computation speed.
RNN AM
- details at http://liuc.cslt.org/pages/rnnam.html
- tuning parameters on monophone NN
- run using wsj,MPE
Mic-Array
- investigate alpha parameter in time domian and frquency domain
- ALPHA>=0
Convolutive network
- HOLD
- CNN + DNN feature fusion
RNN-DAE(Deep based Auto-Encode-RNN)
- HOLD -Zhiyong
- http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261
Speaker ID
- DNN-based sid --Yiye
- Decode --Yiye
- http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=327
Ivector based ASR
- http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?step=view_request&cvssid=340
- Ivector dimention is smaller, performance is better
- Augument to hidden layer is better than input layer
- train on wsj(testbase dev93+evl92)
Text Processing
tag LM
- similar word extension in FST
- will check the formula using Bayes and experiment
- fixed the bug using the big-lm.
- will add more test data
- will test the baseline(no weight) and different weight method
RNN LM
- rnn
- code the character-lm using Theano
- lstm+rnn
- check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)
W2V based document classification
- some result about VMF model [1]
- will try max-method
Translation
- v5.0 demo released
- cut the dict and use new segment-tool
Sparse NN in NLP
- test the drop-out model and the performance gets a little improvement, need some result:
- test the order feature
online learning
- data is ready.prepare the ACL paper
- modified the listNet SGD
- finish some test.
- test the result on different time.
relation classifier
- modified the drop-out method
