“ASR:2015-08-24”版本间的差异
来自cslt Wiki
(→financial group) |
(→financial group) |
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(2位用户的2个中间修订版本未显示) | |||
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==== Environment ==== | ==== Environment ==== | ||
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==== RNN AM==== | ==== RNN AM==== | ||
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* deliver to mengyuan, xuewei | * deliver to mengyuan, xuewei | ||
:* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261 | :* http://cslt.riit.tsinghua.edu.cn/cgi-bin/cvss/cvss_request.pl?account=zhangzy&step=view_request&cvssid=261 | ||
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− | ===Ivector&Dvector based ASR=== | + | ===Ivector&Dvector based ASR=== |
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* Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric | * Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric | ||
+ | :*hold | ||
* dark-konowlege using i-vector | * dark-konowlege using i-vector | ||
− | * | + | * RNN ivector |
− | + | * binary ivector | |
===language vector=== | ===language vector=== | ||
第43行: | 第38行: | ||
:* hold | :* hold | ||
* write a paper--zhiyuan | * write a paper--zhiyuan | ||
+ | :*hold | ||
* RNN language vector | * RNN language vector | ||
− | + | :* hold | |
− | + | ||
− | + | ||
− | + | ||
− | + | ||
− | :* hold | + | |
第129行: | 第120行: | ||
* RNN | * RNN | ||
:* online model, update everyday | :* online model, update everyday | ||
+ | :* modify cost function and learning method | ||
:* add more feature | :* add more feature | ||
==rule combination== | ==rule combination== | ||
第138行: | 第130行: | ||
* bug fixed | * bug fixed | ||
:* index calculation | :* index calculation | ||
− | :* | + | :* buy rule fixed |
+ | * document | ||
==data== | ==data== | ||
− | * | + | * data api |
+ | * download data |
2015年8月24日 (一) 08:01的最后版本
目录
- 1 Speech Processing
- 2 Text Processing
- 3 financial group
Speech Processing
AM development
Environment
RNN AM
- train monophone RNN --zhiyuan
- train using large dataset--mengyuan
- write code to tune learning rate--zhiyong
Mic-Array
- hold
- compute EER with kaldi
====Data selection unsupervised learning
- hold
- acoustic feature based submodular using Pingan dataset --zhiyong
- write code to speed up --zhiyong
RNN-DAE(Deep based Auto-Encode-RNN)
- hold
- deliver to mengyuan, xuewei
Ivector&Dvector based ASR
- Cluster the speakers to speaker-classes, then using the distance or the posterior-probability as the metric
- hold
- dark-konowlege using i-vector
- RNN ivector
- binary ivector
language vector
- hold
- train using language vector with the dataset of 1400h_CN + 100h_EN--mengyuan
- hold
- write a paper--zhiyuan
- hold
- RNN language vector
- hold
multi-GPU=
- multi-stream training --Sheng Su
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
- Test.
- Paper: RNN Rank Net.
- (hold)
- Output rank information.
Graph RNN
- Entity path embeded to entity.
- (hold)
RNN Word Segment
- Set bound to word segment.
- (hold)
Seq to Seq(09-15)
- Review papers.
- Reproduce baseline. (08-03 <--> 08-17)
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
RNN based QA
- Read Source Code.
- Attention based QA.
- Coding.
RNN Poem Process
- Seq based BP.
- (hold)
Text Group Intern Project
Buddhist Process
- (hold)
RNN Poem Process
- Done by Haichao yu & Chaoyuan zuo Mentor : Tianyi Luo.
RNN Document Vector
- (hold)
Image Baseline
- Demo Release.
- Paper Report.
- Read CNN Paper.
Text Intuitive Idea
Trace Learning
- (Hold)
Match RNN
- (Hold)
financial group
model research
- RNN
- online model, update everyday
- modify cost function and learning method
- add more feature
rule combination
- rule analysis
basic rule
- classical tenth model
display
- bug fixed
- index calculation
- buy rule fixed
- document
data
- data api
- download data