“ASR:2015-08-03”版本间的差异
来自cslt Wiki
（以“==Speech Processing == === AM development === ==== Environment ==== * grid-14 is on repairation * prepare to buy a server ==== RNN AM==== *hold *morpheme RNN --z...”为内容创建页面） |
（→display platform） |
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| （3位用户的7个中间修订版本未显示） | |||
| 第11行： | 第11行： | ||
*morpheme RNN --zhiyuan | *morpheme RNN --zhiyuan | ||
*train using 1400h large dataset--mengyuan | *train using 1400h large dataset--mengyuan | ||
| − | *write code to tune learning rate | + | *write code to tune learning rate |
==== Mic-Array ==== | ==== Mic-Array ==== | ||
| 第107行： | 第107行： | ||
*Read CNN Paper. | *Read CNN Paper. | ||
| − | = | + | ===Text Intuitive Idea=== |
| − | === | + | ====Trace Learning==== |
| − | * | + | * (Hold) |
| − | + | ====Match RNN ==== | |
| − | + | * (Hold) | |
| + | |||
| + | =financial group= | ||
===tonglian platform=== | ===tonglian platform=== | ||
* learn the platform | * learn the platform | ||
| − | :* | + | :* arma,ar,boosting tree is done |
| − | + | ||
===strategy=== | ===strategy=== | ||
| − | * | + | * rule optimize model |
| − | :* | + | :* Adaboost method |
| − | * | + | * technology index |
| − | :* | + | :* survey the current technology index |
| − | * | + | * NN |
| − | :* | + | :* RNN model using Theano |
| + | |||
| + | ===display platform=== | ||
| + | * set up the test platform in our grid | ||
2015年8月10日 (一) 04:13的最后版本
目录
- 1 Speech Processing
- 2 Text Processing
- 3 financial group
Speech Processing
AM development
Environment
- grid-14 is on repairation
- prepare to buy a server
RNN AM
- hold
- morpheme RNN --zhiyuan
- train using 1400h large dataset--mengyuan
- write code to tune learning rate
Mic-Array
- hold
- compute EER with kaldi
====Data selection unsupervised learning
- hold
- acoustic feature based submodular using Pinan dataset --zhiyong
- write code to speed up --zhiyong
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
language vector
- hold
- train using language vector with the dataset of 1400h_CN + 100h_EN--mengyuan
- hold
- write a paper--zhiyuan
- RNN language vector
- train as a paper--xuewei
rectifier
- hold
- rectifier RNN --zhiyuan
monophone
- hold
- triphone is tranfered to monophone
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)
RNN Rank Task
- (hold)
RNN Word Segment
- (hold)
Seq to Seq(09-15)
- Review papers.
- Reproduce baseline. (08-03)
Order representation
- Nested Dropout
- semi-linear --> neural based auto-encoder.
- modify the objective function(hold)
Balance Representation
- Find error signal
Recommendation
- Reproduce baseline.
- LDA matrix dissovle.
- LDA (Text classification & Recommendation System) --> AAAI
DSSM based QA
- Demo Release.(English done.)
- Chinese Model start.
RNN based QA
- Read Source Code.
Text Group Intern Project
Buddhist Process
(hold)
RNN Poem Process
- Read Paper & Source Code.
RNN Document Vector
(hold)
Image Baseline
- Demo Release.
- Paper Report.
- Read CNN Paper.
Text Intuitive Idea
Trace Learning
- (Hold)
Match RNN
- (Hold)
financial group
tonglian platform
- learn the platform
- arma,ar,boosting tree is done
strategy
- rule optimize model
- Adaboost method
- technology index
- survey the current technology index
- NN
- RNN model using Theano
display platform
- set up the test platform in our grid
