“ASR:2015-07-06”版本间的差异
来自cslt Wiki
（以“==Speech Processing == === AM development === ==== Environment ==== ==== RNN AM==== *morpheme RNN --zhiyuan ==== Mic-Array ==== * hold * compute EER with kaldi...”为内容创建页面） |
（→Text Processing） |
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| 第50行： | 第50行： | ||
* (hold) | * (hold) | ||
| − | ===Order representation === | + | ====Order representation ==== |
* Nested Dropout | * Nested Dropout | ||
* modify the objective function(hold) | * modify the objective function(hold) | ||
| − | ===Balance Representation=== | + | ====Balance Representation==== |
* Find error signal | * Find error signal | ||
| − | ===Recommendation=== | + | ====Recommendation==== |
* Reproduce baseline. | * Reproduce baseline. | ||
| − | ===DSSM based QA=== | + | ====DSSM based QA==== |
* Reproduce baseline. | * Reproduce baseline. | ||
2015年7月6日 (一) 01:34的版本
Speech Processing
AM development
Environment
RNN AM
- morpheme RNN --zhiyuan
Mic-Array
- hold
- compute EER with kaldi
====Data selection unsupervised learning
- train using aurora4 --zhiyong
- train using wsj --xuewei
RNN-DAE(Deep based Auto-Encode-RNN)
- hold
- deliver to mengyuan
Speaker ID
- DNN-based sid --Lantian
Ivector&Dvector based ASR
- hold --Tian Lan
- Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric
- dark-konowlege using i-vector
- train on wsj(testbase dev93+evl92)
- --hold
Dark knowledge
- test random last output layer when train MPE --zhiyuan
language vector
- hold
Text Processing
RNN LM
- character-lm rnn(hold)
- lstm+rnn
- check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)
Neural Based Document Classification
- (hold)
Order representation
- Nested Dropout
- modify the objective function(hold)
Balance Representation
- Find error signal
Recommendation
- Reproduce baseline.
DSSM based QA
- Reproduce baseline.
