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| − | 目录 [隐藏]
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| − | 1 Speech Processing
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| − | 1.1 AM development
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| − | 1.1.1 Environment
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| − | 1.1.2 RNN AM
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| − | 1.1.3 Mic-Array
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| − | 1.1.4 Convolutive network
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| − | 1.1.5 RNN-DAE(Deep based Auto-Encode-RNN)
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| − | 1.2 Speaker ID
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| − | 1.3 Ivector based ASR
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| − | 2 Text Processing
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| − | 2.1 tag LM
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| − | 2.1.1 RNN LM
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| − | 2.1.2 W2V based doc classification
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| − | 2.2 Translation
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| − | 2.3 Sparse NN in NLP
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| − | 2.4 online learning
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| − | Speech Processing[编辑]
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| − | AM development[编辑]
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| − | Environment[编辑]
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| − | grid-11 often shut down automatically, too slow computation speed.
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| − | RNN AM[编辑]
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| − | details at http://liuc.cslt.org/pages/rnnam.html
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| − | tuning parameters on monophone NN
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| − | run using wsj,MPE
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| − | Mic-Array[编辑]
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| − | investigate alpha parameter in time domian and frquency domain
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| − | ALPHA>=0
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| − | Convolutive network[编辑]
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| − | HOLD
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| − | CNN + DNN feature fusion
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| − | RNN-DAE(Deep based Auto-Encode-RNN)[编辑]
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| − | HOLD -Zhiyong
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| − | http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261
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| − | Speaker ID[编辑]
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| − | DNN-based sid --Yiye
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| − | Decode --Yiye
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| − | http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=327
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| − | Ivector based ASR[编辑]
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| − | http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?step=view_request&cvssid=340
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| − | Ivector dimention is smaller, performance is better
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| − | Augument to hidden layer is better than input layer
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| − | train on wsj(testbase dev93+evl92)
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| − | Text Processing[编辑]
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| − | tag LM[编辑]
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| − | similar word extension in FST
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| − | check the formula using Bayes and experiment
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| − | RNN LM[编辑]
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| − | rnn
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| − | code the character-lm using Theano
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| − | lstm+rnn
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| − | check the lstm-rnnlm code about how to Initialize and update learning rate.(hold)
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| − | W2V based doc classification[编辑]
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| − | corpus ready
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| − | learn some benchmark.
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| − | Translation[编辑]
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| − | v5.0 demo released
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| − | cut the dict and use new segment-tool
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| − | Sparse NN in NLP[编辑]
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| − | prepare the ACL
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| − | check the code to find the problem .
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| − | increase the dimension
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| − | use different test set,but the result is not good.
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| − | online learning[编辑]
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| − | data is ready.prepare the ACL paper
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| − | prepare sougouQ data and test it using current online learning method
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| − | baseline is not normal.
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