cslt Wiki - 用户贡献 [zh-cn]

2018

2019-10-04T12:19:46Z

Yujiawei：/* VPR */

2018-2019

== ASR ==

*[[媒体文件:语音识别系统.pdf | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/4/4a/Yjw_SRE_pre.pdf 181107-于嘉威-Overview of VPR]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==LRE==

*[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Zero-resource_LID.pdf 190529-于嘉威-Zero-resource-LID]]

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

*[[媒体文件:Ensemble_2019.5.8.pdf | 190508-吴嘉瑶-ensemble of NN]]

*[[媒体文件:Knowledge_distillation_19.5.29.pdf | 190529-吴嘉瑶-knowledge distillation]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

==Medical Image==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b1/%E7%AD%94%E8%BE%A92.pdf 190522-刘逸博-基于人工智能的乳腺癌诊断]

==User Guide of Fault Detection==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/32/How_to_let_the_fault_detection_work_on_your_Raspberry_Pi.pdf 190802-孙浩然-异常检测树莓派配置教程]

==User Guide of Cry Detection==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/8c/Cry_detection_guide.pdf 190918-武烜宇-基于svm模型的哭声检测使用指南]

文件:Yjw SRE pre.pdf

2019-10-04T12:18:04Z

Yujiawei：

2019-05-31

2019-05-31T00:29:16Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
*
||
*
||
*
|-

|-
|Jiayao Wu
||
*prepare for the weekly report
*made a researh of different sampling method
||
* evaluate the model based on "frame accuracy"
||
*
|-

|-
|Zhaodi Qi
||
* prepare for the weekly report
* do some experiment about adapt domain
||
* continue to explore about adapt domain
||
*
|-

|-
|Jiawei Yu
||
* prepare for the weekly report.
* the in-set experiment for different test utterance length(1s, 3s) have been completed.
||
* test the verification results.
||
*
|-

|-
|Wenwei Dong
||
* try speaker level scoring
* train infogan on big dataset
||
* test infogan and use different native background data train infogan
||
*
|-

|-
|Xueyi Wang
||
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
||
*
|-

|-
|kaicheng li
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|}

2019-05-31

2019-05-30T23:59:04Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
*
||
*
||
*
|-

|-
|Jiayao Wu
||
*prepare for the weekly report
*made a researh of different sampling method
||
* evaluate the model based on "frame accuracy"
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* prepare for the weekly report.
* the in-set experiment for different test utterance length(1s, 3s) have been completed.
||
* test performance of different enroll utterance length and verification results.
||
*
|-

|-
|Wenwei Dong
||
*
||
*
||
*
|-

|-
|Xueyi Wang
||
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
||
*
|-

|-
|kaicheng li
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
||
*
||
*
|-

|-
|Haoran Sun
||
*
||
*
||
*
|-

|}

2018

2019-05-29T13:20:48Z

Yujiawei：

2018-2019

== ASR ==

*[[媒体文件:181107-ASR-WJY.pptx | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[[媒体文件:181107-SRE-YJW.pptx | 181107-于嘉威-Overview of VPR]]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==LRE==

*[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Zero-resource_LID.pdf 190529-于嘉威-Zero-resource-LID]]

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

2018

2019-05-29T13:20:30Z

Yujiawei：

2018-2019

== ASR ==

*[[媒体文件:181107-ASR-WJY.pptx | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[[媒体文件:181107-SRE-YJW.pptx | 181107-于嘉威-Overview of VPR]]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==LRE==

*[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Zero-resource_LID.pdf 190529-于嘉威-Zero-resource-LID]]*

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

2018

2019-05-29T13:20:12Z

Yujiawei：

2018-2019

== ASR ==

*[[媒体文件:181107-ASR-WJY.pptx | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[[媒体文件:181107-SRE-YJW.pptx | 181107-于嘉威-Overview of VPR]]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==LRE==

*[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Zero-resource_LID.pdf | 190529-于嘉威-Zero-resource-LID]]*

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

2018

2019-05-29T13:19:47Z

Yujiawei：

2018-2019

== ASR ==

*[[媒体文件:181107-ASR-WJY.pptx | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[[媒体文件:181107-SRE-YJW.pptx | 181107-于嘉威-Overview of VPR]]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]*

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==LRE==

*[[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/80/Zero-resource_LID.pdf | 190529-于嘉威-Zero-resource-LID]]*

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

文件:Zero-resource LID.pdf

2019-05-29T13:16:42Z

Yujiawei：

文件:Zero-resource LID 5.29.pptx

2019-05-29T13:15:34Z

Yujiawei：

2019-05-24

2019-05-23T12:31:45Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Compiling the data of planning and training set, unifying data formats
||
* Re-plan training set using planning results
* Doing summary work
||
*
|-

|-
|Jiayao Wu
||
*
||
*
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* Done part of ivector and dvector in-set LID experiment.
* Experimented different test utterance lengths(1s, 3s, full length) for zero-resource LID.
||
* Test the in-set language for different test utterance length(1s, 3s).
||
*
|-

|-
|Wenwei Dong
||
* -
||
* Try speaker level correlation.
* Collect different language background speaker's English data to train info-GAN.
||
*
|-

|-
|Xueyi Wang
||
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
||
*
|-

|-
|kaicheng li
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Maths: statistical inference, integer programming
||
* Continue learning statistics
||
*
|-

|-
|Haoran Sun
||
* Completed the testing table of asr engine
||
* Test the concurrence of asr engine
||
*
|-

|}

2019-05-24

2019-05-23T12:29:36Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Compiling the data of planning and training set, unifying data formats
||
* Re-plan training set using planning results
* Doing summary work
||
*
|-

|-
|Jiayao Wu
||
*
||
*
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* Test part of ivector and dvector in-set LID experiment.
* Experiment different test utterance lengths(1s, 3s, full length) for zero-resource LID.
||
* Test the in-set language for different test utterance length(1s, 3s).
||
*
|-

|-
|Wenwei Dong
||
* -
||
* Try speaker level correlation.
* Collect different language background speaker's English data to train info-GAN.
||
*
|-

|-
|Xueyi Wang
||
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
||
*
|-

|-
|kaicheng li
||
*
||
*
||
*
|-

|-
|Haolin Chen
||
* Maths: statistical inference, integer programming
||
* Continue learning statistics
||
*
|-

|-
|Haoran Sun
||
* Completed the testing table of asr engine
||
* Test the concurrence of asr engine
||
*
|-

|}

2019-05-17

2019-05-16T23:57:39Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Recompiled the 1031k dataset and retrained the Seq2seq model.
||
* Justify the loss and fix the rhyme part.
||
*
|-

|-
|Jiayao Wu
||
*did some experiments of adaboost on ASR and have some basic results
*working on the speechbook
||
*keep on doing experiments on larger data_set.
||
*
|-

|-
|Zhaodi Qi
||
* Do experiment on Mult-scale information.
||
* Do experiment on Multi-language BN
||
*
|-

|-
|Jiawei Yu
||
* Did data preparation for zero-resource language recognition
||
* Continue to improve the experiment of zero-resource recognition
||
*
|-

|-
|Wenwei Dong
||
*
||
*
||
*
|-

|-
|Xueyi Wang
||
*
*
||
*
*
||
*
|-

|-
|Ziya Zhou
||
* Revised the speech book
* Made a list of 1,000 celebrities and downloaded videos of over 30 of them.
||
* Continue downloading and editing videos of another 150 celebrities.
||
*
|-

|-
|kaicheng li
||
*
*
||
*
*
||
*
|-

|-
|Haolin Chen
||
*
*
||
*
||
*
|-

|-
|Haoran Sun
||
* did some tests on Fn asr engine
* corrected some errors in the speech-book
||
* continue testing on the robustness of Fn asr engine
||
*
|-

|}

2019-05-17

2019-05-16T23:57:21Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Recompiled the 1031k dataset and retrained the Seq2seq model.
||
* Justify the loss and fix the rhyme part.
||
*
|-

|-
|Jiayao Wu
||
*did some experiments of adaboost on ASR and have some basic results
*working on the speechbook
||
*keep on doing experiments on larger data_set.
||
*
|-

|-
|Zhaodi Qi
||
* Do experiment on Mult-scale information.
||
* Do experiment on Multi-language BN
||
*
|-

|-
|Jiawei Yu
||
* did data preparation for zero-resource language recognition
||
* continue to improve the experiment of zero-resource recognition
||
*
|-

|-
|Wenwei Dong
||
*
||
*
||
*
|-

|-
|Xueyi Wang
||
*
*
||
*
*
||
*
|-

|-
|Ziya Zhou
||
* Revised the speech book
* Made a list of 1,000 celebrities and downloaded videos of over 30 of them.
||
* Continue downloading and editing videos of another 150 celebrities.
||
*
|-

|-
|kaicheng li
||
*
*
||
*
*
||
*
|-

|-
|Haolin Chen
||
*
*
||
*
||
*
|-

|-
|Haoran Sun
||
* did some tests on Fn asr engine
* corrected some errors in the speech-book
||
* continue testing on the robustness of Fn asr engine
||
*
|-

|}

2018

2019-05-15T11:46:43Z

Yujiawei：

2018-2019

== ASR ==

*[[媒体文件:181107-ASR-WJY.pptx | 181107-吴嘉瑶-Overview of ASR]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/38/Unsupervised_pre-training_for_speech_recognition.pdf 190515-董文伟-Unsupervised_pre-training_for_speech_recognition]]

==VPR==

*[[媒体文件:181107-SRE-YJW.pptx | 181107-于嘉威-Overview of VPR]]

*[https://arxiv.org/pdf/1808.00158.pdf 181114-VPR from raw waveform]

*[[媒体文件:190306-zy-report.pptx | 190306-张阳 experiments report]]*

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/8/82/I-vector_representation_based_on_GMM_and_DNN.pdf 190418-齐诏娣-I-vector_representation_based_on_GMM_and_DNN]

==Scoring==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/5/5c/190117-DWW-Scoring.pptx 190117-董文伟-Overview of Scoring]]

*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/bc/Kandeng-English-scoring.pdf 190425-邓侃-English Evaluation techniques]]

==Text generation==

*[https://arxiv.org/pdf/1803.07133.pdf Overview-2018-Neural Text Generation: Past, Present and Beyond]

==Conversational system==
*[https://arxiv.org/pdf/1809.08267.pdf Overview-2018-Neural Approaches to Conversational AI: Question Answering, Task-Oriented Dialogue and Chatbots: A Unified View] [https://www.microsoft.com/en-us/research/uploads/prod/2018/07/neural-approaches-to-conversational-AI.pdf slides]

==Deep architecture and mechanism==

*[https://arxiv.org/pdf/1510.00149.pdf 181114-deep compression]

*[[媒体文件:Tensor factorization neural net.pdf | 181212-何丹-Tensor factorization neural net]]

==Learning theory==

*[[媒体文件:181205 Meta-Learning and Zero-Shot Learning JXQ.pdf | 181205 姜修齐 Meta-Learning and Zero-Shot Learning]]

==Platform and tool==

*[[媒体文件:181116-张阳-Conda_&_Python.pdf | 181116-张阳-Conda & Python]]

*[[媒体文件:181117-张阳-Linux.pdf | 181117-张阳-Linux]]

*[https://pan.baidu.com/s/13qf-GqOSE4DK7q5VjbtWNA PyTorch 1.0 - Bringing research and production together Presentation]

==NLP language model==
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/Bert%E7%AE%80%E4%BB%8B.pdf Bert模型简介]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/6/6f/Punc_prediction_%E6%80%BB%E7%BB%93.pdf bert based punctuation_prediction 实验总结]

文件:Unsupervised pre-training for speech recognition.pdf

2019-05-15T11:43:10Z

Yujiawei：

文件:Unsupervised pre-training for speech recognition.pptx

2019-05-15T11:41:09Z

Yujiawei：

文件:Phonetic attention.pdf

2019-05-10T06:25:54Z

Yujiawei：Yujiawei上传“文件:Phonetic attention.pdf”的新版本

2019-05-10

2019-05-10T06:19:19Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Merge code with Yibo and clean up current Vivi
||
* Polish up baselines and add extra regularizations to seq2seq loss
||
*
|-

|-
|Jiayao Wu
||
*made a summary of formal experiment
*prepare for the weekly report
*make a further try of Adaboost on ASR on chain model(to get rid of the influence of priors,no priors in chain model)
||
*try more experiments on Adaboost ASR
*modify the speech book
||
*
|-

|-
|Zhaodi Qi
||
* Summarized the previous experiments and explored new methods.
||
* Complete the experiment of Mult-scale information and Modify the speech book
||
*
|-

|-
|Jiawei Yu
||
* Continue phonetic attention experiment and write the experiment report.
||
* ...
||
*
|-

|-
|Wenwei Dong
||
* use frame fbank feature to train infogan, draw t-sne
||
*use gmm to learn the distribution of different dataset
||
*
|-

|-
|Xueyi Wang
||
*
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
*
*
||
*
|-

|-
|kaicheng li
||
*
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
*
||
*
*
||
*
|-

|}

2019-05-10

2019-05-10T06:18:54Z

Yujiawei：

{| class="wikitable"
!People !! This Week !! Next Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Merge code with Yibo and clean up current Vivi
||
* Polish up baselines and add extra regularizations to seq2seq loss
||
*
|-

|-
|Jiayao Wu
||
*made a summary of formal experiment
*prepare for the weekly report
*make a further try of Adaboost on ASR on chain model(to get rid of the influence of priors,no priors in chain model)
||
*try more experiments on Adaboost ASR
*modify the speech book
||
*
|-

|-
|Zhaodi Qi
||
* Summarized the previous experiments and explored new methods.
||
* Complete the experiment of Mult-scale information and Modify the speech book
||
*
|-

|-
|Jiawei Yu
||
* Continue phonetic attention exoeriment and write the experiment report.
||
* ...
||
*
|-

|-
|Wenwei Dong
||
* use frame fbank feature to train infogan, draw t-sne
||
*use gmm to learn the distribution of different dataset
||
*
|-

|-
|Xueyi Wang
||
*
*
||
*
||
*
|-

|-
|Ziya Zhou
||
*
||
*
*
*
||
*
|-

|-
|kaicheng li
||
*
*
||
*
||
*
|-

|-
|Haolin Chen
||
*
*
||
*
*
||
*
|-

|}

文件:Phonetic attention.pdf

2019-05-10T05:52:49Z

Yujiawei：

2019-02-20

2019-02-20T04:35:15Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
* Reconstructed the model on pytorch.
||
* 1.Tune the parameters and train a model with good results.
* 2.Add planning and polishing procedure.
||
*
|-

|-
|Xiuqi Jiang
||
*
||
*
||
*
|-

|-
|Jiayao Wu
||
*finished several experiments on node-sparseness
||
*keep on doing experiments
||
*
|-

|-
|Zhaodi Qi
||
* finished x-vector system
||
* improve the system ，because the results is bad.
||
*
|-

|-
|Jiawei Yu
||
* Familiar with the code of attention experiment.
* Modify the code to achieve phonetic attention.
||
* finish the phonetic attention experiment.
||
*
|-

|-
|Yunqi Cai
||
*1,use the ASR test_data set ref.txt to test the original bert and then compare with the fine-tuned Bert.
*2,compare the difference between hyp.text which comes from ASR test results, and investigate how to mask the error in the sentence of the ASR result.
*3,set a rule among all the result(hyp.text) to find out the error to be masked.
||
*
||
*
|-

|-
|Dan He
||
*
||
*Continue to study the time complexity of TT-decomposition
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|-
|Wenwei Dong
||
*ivector+fbank as feature compare with fbank in GOP
||
*read papers, find some new speaker adaptation methods
||
*
|-

|}

2019-02-20

2019-02-20T02:40:33Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
*
||
*
||
*
|-

|-
|Jiayao Wu
||
*
||
*
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
*
||
*
||
*
|-

|-
|Yunqi Cai
||
*
||
*
||
*
|-

|-
|Dan He
||
*
||
*
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|-
|Wenwei Dong
||
*
||
*
||
*
|-

|}

2019-02-04

2019-01-25T02:49:58Z

Yujiawei：

$ Happy new year :) $

{| class="wikitable"
!People !! Day home !! Day back !! Life Tracking
|-

|-
|Yibo Liu
||

||

||

|-

|-
|Xiuqi Jiang
||

||

||

|-

|-
|Jiayao Wu
||
1月25日
||
2月13日
||

|-

|-
|Zhaodi Qi
||
1月31日
||
预计2月13日（抢票中）
||

|-

|-
|Jiawei Yu
||
1月30号
||
预计2月11号（不过还没抢到票）
||

|-

|-
|Yunqi Cai
||

||

||

|-

|-
|Dan He
||

||

||

|-

|-
|Yang Zhang
||

||

||

|-

|-
|Wenwei Dong
||
1月30号
||
预计2月14号
||

|-

|}

2019-02-04

2019-01-24T04:30:53Z

Yujiawei：

$ Happy new year :) $

{| class="wikitable"
!People !! Day home !! Day back !! Life Tracking
|-

|-
|Yibo Liu
||

||

||

|-

|-
|Xiuqi Jiang
||

||

||

|-

|-
|Jiayao Wu
||

||

||

|-

|-
|Zhaodi Qi
||

||

||

|-

|-
|Jiawei Yu
||
1月30号
||
预计2月10号（不过还没抢到票）
||

|-

|-
|Yunqi Cai
||

||

||

|-

|-
|Dan He
||

||

||

|-

|-
|Yang Zhang
||

||

||

|-

|-
|Wenwei Dong
||

||

||

|-

|}

2019-01-23

2019-01-23T04:13:37Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Designed a better code structure for further experiments.
* Improved vivi2.0 and made some adjustments to .sh script.
||
* Build codes under the new structure.
||
*
|-

|-
|Jiayao Wu
||
* do experiments on node_sparseness and update it on cvss
* re-label some data
||
* keep on doing experiments on pruning
* get familiar with pytorch
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* wrote a tensorflow learning document, and I have not completed it.
* read some papers about attention and find some attention code in GitHub.
||
* try to run these attention code figure out mechanism of this code.
||
*
|-

|-
|Yunqi Cai
||
*1,figured out how the Bert model create the pretraining data and do the pretraining.
*2,try to use the Bert to do the error correction of a text sentence.
*3,re-label some ASR data
*4,Test vivi2.0 model
||
*Construct a Text sentence error correction model
||
*
|-

|-
|Dan He
||
*Do experiments on comparing test time and update it on cvss

||
*
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|}

2019-01-23

2019-01-23T04:13:11Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Designed a better code structure for further experiments.
* Improved vivi2.0 and made some adjustments to .sh script.
||
* Build codes under the new structure.
||
*
|-

|-
|Jiayao Wu
||
* do experiments on node_sparseness and update it on cvss
* re-label some data
||
* keep on doing experiments on pruning
* get familiar with pytorch
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* wrote a tensorflow learning document, and I have not completed it.
* read some papers about attention and find some attention code in GitHub.
||
*
||
* try to run these attention code figure out mechanism of this code.
|-

|-
|Yunqi Cai
||
*1,figured out how the Bert model create the pretraining data and do the pretraining.
*2,try to use the Bert to do the error correction of a text sentence.
*3,re-label some ASR data
*4,Test vivi2.0 model
||
*Construct a Text sentence error correction model
||
*
|-

|-
|Dan He
||
*Do experiments on comparing test time and update it on cvss

||
*
||
*
|-

|-
|Yang Zhang
||
*
||
*
||
*
|-

|}

文件:Tensorflow学习文档-ing........pdf

2019-01-23T02:36:30Z

Yujiawei：

Speech book

2019-01-22T12:25:43Z

Yujiawei：/* 情绪识别（嘉威） */

'''《语音识别基本法》'''

*[[媒体文件:20190113a speech book.pdf | Version 20190113a]]

*[[媒体文件:20190113 speech book.pdf | Version 20190113]]

*[[媒体文件:20181226 speech book.pdf | Version 20181226]]

*[[媒体文件:20181225 speech book.pdf | Version 20181225]]

*[[媒体文件:20181224 speech book.pdf | Version 20181224]]

*Tex on [https://gitlab.com/tzyll/speech_book GitLab]

=语音识别基础 (阿汤)=
==语音是什么==
==语音识别方法==
==语音识别工具==

=语音识别基本流程（阿汤）=
==实验先行==
==前端处理==
==训练与解码==

=语音识别实际问题=
==说话人自适应（启明）==
[[媒体文件:Spk.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/spk-adapt.rar latex]

==噪声对抗与环境鲁棒性（启明）==

[[媒体文件:Noise.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/noise-robust.rar latex]

==新词处理与领域泛化（文强）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fd/Domain.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3d/Domain_adaptation.rar LaTex]

==小语种识别（石颖）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f4/Minority_20190109.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/02/Minority_asr.rar LaTex]

==关键词唤醒与嵌入式系统（嘉瑶）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/70/Kws.rar Latex]

=前沿课题=
==说话人识别（蓝天）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/Spk.pdf pdf]

==语种识别（诏娣）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Lid.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9e/LID-speekbook.rar latex]

==情绪识别（嘉威）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/28/语音情绪识别.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/78/Ser.rar LaTex]

==语音合成（启明）==

[[媒体文件:Tts.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/tts.rar latex]

文件:Ser.rar

2019-01-22T12:24:18Z

Yujiawei：Yujiawei上传“文件:Ser.rar”的新版本

Speech book

2019-01-22T12:23:02Z

Yujiawei：/* 情绪识别（嘉威） */

'''《语音识别基本法》'''

*[[媒体文件:20190113a speech book.pdf | Version 20190113a]]

*[[媒体文件:20190113 speech book.pdf | Version 20190113]]

*[[媒体文件:20181226 speech book.pdf | Version 20181226]]

*[[媒体文件:20181225 speech book.pdf | Version 20181225]]

*[[媒体文件:20181224 speech book.pdf | Version 20181224]]

*Tex on [https://gitlab.com/tzyll/speech_book GitLab]

=语音识别基础 (阿汤)=
==语音是什么==
==语音识别方法==
==语音识别工具==

=语音识别基本流程（阿汤）=
==实验先行==
==前端处理==
==训练与解码==

=语音识别实际问题=
==说话人自适应（启明）==
[[媒体文件:Spk.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/spk-adapt.rar latex]

==噪声对抗与环境鲁棒性（启明）==

[[媒体文件:Noise.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/noise-robust.rar latex]

==新词处理与领域泛化（文强）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fd/Domain.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3d/Domain_adaptation.rar LaTex]

==小语种识别（石颖）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f4/Minority_20190109.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/02/Minority_asr.rar LaTex]

==关键词唤醒与嵌入式系统（嘉瑶）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/70/Kws.rar Latex]

=前沿课题=
==说话人识别（蓝天）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/Spk.pdf pdf]

==语种识别（诏娣）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Lid.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9e/LID-speekbook.rar latex]

==情绪识别（嘉威）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/28/语音情绪识别.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Ser.rar LaTex]

==语音合成（启明）==

[[媒体文件:Tts.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/tts.rar latex]

Speech book

2019-01-22T12:22:19Z

Yujiawei：/* 情绪识别（嘉威） */

'''《语音识别基本法》'''

*[[媒体文件:20190113a speech book.pdf | Version 20190113a]]

*[[媒体文件:20190113 speech book.pdf | Version 20190113]]

*[[媒体文件:20181226 speech book.pdf | Version 20181226]]

*[[媒体文件:20181225 speech book.pdf | Version 20181225]]

*[[媒体文件:20181224 speech book.pdf | Version 20181224]]

*Tex on [https://gitlab.com/tzyll/speech_book GitLab]

=语音识别基础 (阿汤)=
==语音是什么==
==语音识别方法==
==语音识别工具==

=语音识别基本流程（阿汤）=
==实验先行==
==前端处理==
==训练与解码==

=语音识别实际问题=
==说话人自适应（启明）==
[[媒体文件:Spk.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/spk-adapt.rar latex]

==噪声对抗与环境鲁棒性（启明）==

[[媒体文件:Noise.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/noise-robust.rar latex]

==新词处理与领域泛化（文强）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/fd/Domain.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/3/3d/Domain_adaptation.rar LaTex]

==小语种识别（石颖）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f4/Minority_20190109.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/02/Minority_asr.rar LaTex]

==关键词唤醒与嵌入式系统（嘉瑶）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/70/Kws.rar Latex]

=前沿课题=
==说话人识别（蓝天）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/2f/Spk.pdf pdf]

==语种识别（诏娣）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Lid.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/9e/LID-speekbook.rar latex]

==情绪识别（嘉威）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/28/语音情绪识别.pdf pdf]
http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Ser.rar

==语音合成（启明）==

[[媒体文件:Tts.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/tts.rar latex]

文件:Ser.rar

2019-01-22T12:21:09Z

Yujiawei：

文件:语音情绪识别.pdf

2019-01-21T05:33:02Z

Yujiawei：Yujiawei上传“文件:语音情绪识别.pdf”的新版本

2019-01-16

2019-01-16T04:27:56Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Focused back on the quatrain generation, thinking of the drawbacks of current model.
* Tried to weaken the attention mechanism between sentences.
||
* Add VAE into model and try to generate instead of predicting.
||
*
|-

|-
|Jiayao Wu
||
*continue doing sparse-node experiment using the mask method
||
*run through the first experiment
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* Finish the speech emotion recognition of speech book.
* Learning the tensorflow tutorial.
||
* keep learning tensorflow and do some experiment.
||
*
|-

|-
|Yunqi Cai
||
*1.Run through the bert model. 2.study the details of the bert model.
||
*
||
*
|-

|-
|Dan He
||
*Doing some comparative experiments about TT-decompositions.
||
*Summarize the results of the comparative experiments and initially complete the relevant research on TT-decomposition.
||
*
|-

|-
|Yang Zhang
||
* exam week.
||
* (I will finish all my exams on Friday night)
||
*
|-

|}

文件:语音情绪识别.pdf

2019-01-13T15:55:24Z

Yujiawei：Yujiawei上传“文件:语音情绪识别.pdf”的新版本

Speech book

2019-01-13T15:50:55Z

Yujiawei：/* 情绪识别（嘉威） */

'''《语音识别基本法》'''

*[[媒体文件:20190113a speech book.pdf | Version 20190113a]]

*[[媒体文件:20190113 speech book.pdf | Version 20190113]]

*[[媒体文件:20181226 speech book.pdf | Version 20181226]]

*[[媒体文件:20181225 speech book.pdf | Version 20181225]]

*[[媒体文件:20181224 speech book.pdf | Version 20181224]]

*Tex on [https://gitlab.com/tzyll/speech_book GitLab]

=语音识别基础 (阿汤)=
==语音是什么==
==语音识别方法==
==语音识别工具==

=语音识别基本流程（阿汤）=
==实验先行==
==前端处理==
==训练与解码==

=语音识别实际问题=
==说话人自适应（启明）==
[[媒体文件:Spk.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/spk-adapt.rar latex]

==噪声对抗与环境鲁棒性（启明）==

[[媒体文件:Noise.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/noise-robust.rar latex]

==新词处理与领域泛化（文强）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ef/New_word_du.pdf pdf]

==小语种识别（石颖）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f4/Minority_20190109.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/02/Minority_asr.rar LaTex]

==关键词唤醒与嵌入式系统（嘉瑶）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/70/Kws.rar Latex]

=前沿课题=
==说话人识别（蓝天）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/Sre.pdf pdf]

==语种识别（诏娣）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Lid.pdf pdf]

==情绪识别（嘉威）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/28/语音情绪识别.pdf pdf]

==语音合成（启明）==

[[媒体文件:Tts.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/tts.rar latex]

Speech book

2019-01-13T15:49:51Z

Yujiawei：/* 情绪识别（嘉威） */

'''《语音识别基本法》'''

*[[媒体文件:20190113a speech book.pdf | Version 20190113a]]

*[[媒体文件:20190113 speech book.pdf | Version 20190113]]

*[[媒体文件:20181226 speech book.pdf | Version 20181226]]

*[[媒体文件:20181225 speech book.pdf | Version 20181225]]

*[[媒体文件:20181224 speech book.pdf | Version 20181224]]

*Tex on [https://gitlab.com/tzyll/speech_book GitLab]

=语音识别基础 (阿汤)=
==语音是什么==
==语音识别方法==
==语音识别工具==

=语音识别基本流程（阿汤）=
==实验先行==
==前端处理==
==训练与解码==

=语音识别实际问题=
==说话人自适应（启明）==
[[媒体文件:Spk.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/spk-adapt.rar latex]

==噪声对抗与环境鲁棒性（启明）==

[[媒体文件:Noise.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/noise-robust.rar latex]

==新词处理与领域泛化（文强）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ef/New_word_du.pdf pdf]

==小语种识别（石颖）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/f/f4/Minority_20190109.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/02/Minority_asr.rar LaTex]

==关键词唤醒与嵌入式系统（嘉瑶）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf pdf]

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/7/70/Kws.rar Latex]

=前沿课题=
==说话人识别（蓝天）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/ca/Sre.pdf pdf]

==语种识别（诏娣）==

[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Lid.pdf pdf]

==情绪识别（嘉威）==
http://cslt.riit.tsinghua.edu.cn/mediawiki/images/2/28/语音情绪识别.pdf

==语音合成（启明）==

[[媒体文件:Tts.pdf|pdf]]

[http://wangd.cslt.org/book/kaldi/tts.rar latex]

文件:语音情绪识别.pdf

2019-01-13T15:47:55Z

Yujiawei：

文件:Phonetic attention.jpg

2019-01-10T07:49:15Z

Yujiawei：Yujiawei上传“文件:Phonetic attention.jpg”的新版本

文件:Phonetic attention.jpg

2019-01-10T07:28:22Z

Yujiawei：

2019-01-09

2019-01-09T02:57:25Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
*
||
*
||
*
|-

|-
|Jiayao Wu
||
* finished the speech book -- [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/c5/Kws.pdf kws]
* doing experiment of node -pruning on WSJ chain model
||
* keep on node-pruning research
||
*
|-

|-
|Zhaodi Qi
||
*
||
*
||
*
|-

|-
|Jiawei Yu
||
* Done for max-margin recipe.
* write the speech book.
* learn to use Tensorflow for attention experiment.
||
* finish the emotion recognition speech book.
* Keep learning the Tensorflow and move max-margin experiment to this platform.
||
*
|-

|-
|Yunqi Cai
||
*
||
*
||
*
|-

|-
|Dan He
||
* Compared the inference time, but the results is not well.
*After TT decomposing the two full-connection layers, it is found that the testing accuracy is very low.
||
*According to some problems found in the experiment, continue to do comparative experiments and analyze the reasons.
||
*
|-

|-
|Yang Zhang
||
* Wrote a brief [https://github.com/zyzisyz/VPR-wx-client document]
* submited the source code to [https://gitlab.com/zyzisyz/nebula-listen GitLab].
||
* revise for my school subjects and prepare for the final-term examinations.
||
*
|-

|}

2019-01-02

2019-01-03T04:47:06Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
* More models have been trained and compared.
* Collated notes on ML book and uploaded them on wiki.
||
* Try to train a model generating length-unfixed texts.
||
*
|-

|-
|Jiayao Wu
||
* read some papers about kws and write the chapter before this weekend.
* carding the TDNN-F structure and count the lines of weights to prune and do value prune first.
||
* finish the assigned chapter of Speech book
* finish the value prune experiment
||
*
|-

|-
|Zhaodi Qi
||
* read some papers about DID and other
* Run language recognition task
||
* Continue to complete the language recognition task
||
*
|-

|-
|Jiawei Yu
||
* do some Literature survey on spoken Emotion Recognition for speech book
* done for extract d-vector and phone vector for max-margin
||
* run max-margin recipe for extracted vector
* Consider how to implement the network structure
* finishi the speech book of spoken Emotion Recognition
||
*
|-

|-
|Yunqi Cai
||
*Run through the Thchs30 data, think about the research plan.
||
*Get to know every step of the ASR processes, and investigate the RNN LM.
||
*
|-

|-
|Dan He
||
*Compared the size of a fully connected layer after tt decomposition through experiment, at the same time compared the train loss, validation loss and test accuracy between the two case.
||
*Further compared the inference speed, the precision after retrain.
*Try to decompose more layers of fully connected layers.
||
*
|-

|-
|Yang Zhang
||
* Released and published our WeChat app(星云听).
* cleaned my code
* wrote document for this project (have not finished yet).
||
* continue to write document.
||
*
|-

|}

2019-01-02

2019-01-03T04:45:49Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
* More models have been trained and compared.
* Collated notes on ML book and uploaded them on wiki.
||
* Try to train a model generating length-unfixed texts.
||
*
|-

|-
|Jiayao Wu
||
* read some papers about kws and write the chapter before this weekend.
* carding the TDNN-F structure and count the lines of weights to prune and do value prune first.
||
* finish the assigned chapter of Speech book
* finish the value prune experiment
||
*
|-

|-
|Zhaodi Qi
||
* read some papers about DID and other
* Run language recognition task
||
* Continue to complete the language recognition task
||
*
|-

|-
|Jiawei Yu
||
* do some Literature survey on spoken Emotion Recognition for speech book
* done for extract d-vector and phone vector for max-margin
||
* run max-margin recipe for extracted vector
* Consider how to implement the network structure
||
*
|-

|-
|Yunqi Cai
||
*Run through the Thchs30 data, think about the research plan.
||
*Get to know every step of the ASR processes, and investigate the RNN LM.
||
*
|-

|-
|Dan He
||
*Compared the size of a fully connected layer after tt decomposition through experiment, at the same time compared the train loss, validation loss and test accuracy between the two case.
||
*Further compared the inference speed, the precision after retrain.
*Try to decompose more layers of fully connected layers.
||
*
|-

|-
|Yang Zhang
||
* Released and published our WeChat app(星云听).
* cleaned my code
* wrote document for this project (have not finished yet).
||
* continue to write document.
||
*
|-

|}

2019-01-02

2019-01-03T04:45:19Z

Yujiawei：

{| class="wikitable"
!People !! Last Week !! This Week !! Task Tracking (DeadLine)
|-

|-
|Yibo Liu
||
*
||
*
||
*
|-

|-
|Xiuqi Jiang
||
* Made further adjustments to code, deleting unnecessary files and uploading generated samples to dir 'predict/results'.
* More models have been trained and compared.
* Collated notes on ML book and uploaded them on wiki.
||
* Try to train a model generating length-unfixed texts.
||
*
|-

|-
|Jiayao Wu
||
* read some papers about kws and write the chapter before this weekend.
* carding the TDNN-F structure and count the lines of weights to prune and do value prune first.
||
* finish the assigned chapter of Speech book
* finish the value prune experiment
||
*
|-

|-
|Zhaodi Qi
||
* read some papers about DID and other
* Run language recognition task
||
* Continue to complete the language recognition task
||
*
|-

|-
|Jiawei Yu
||
* do some Literature survey on spoken Emotion Recognition for speech book
* done for extract d-vector and phone vector for max-margin
||
* run max-margin recipe for extracted vector
* Consider how to implement the network structure
*
||
*
|-

|-
|Yunqi Cai
||
*Run through the Thchs30 data, think about the research plan.
||
*Get to know every step of the ASR processes, and investigate the RNN LM.
||
*
|-

|-
|Dan He
||
*Compared the size of a fully connected layer after tt decomposition through experiment, at the same time compared the train loss, validation loss and test accuracy between the two case.
||
*Further compared the inference speed, the precision after retrain.
*Try to decompose more layers of fully connected layers.
||
*
|-

|-
|Yang Zhang
||
* Released and published our WeChat app(星云听).
* cleaned my code
* wrote document for this project (have not finished yet).
||
* continue to write document.
||
*
|-

|}

文件:读书笔记——于嘉威.pdf

2019-01-01T12:08:49Z

Yujiawei：Yujiawei上传“文件:读书笔记——于嘉威.pdf”的新版本

文件:Chapter6ppt yujiawei.pdf

2019-01-01T12:01:26Z

Yujiawei：

ML book

2019-01-01T11:59:33Z

Yujiawei：

'''Introduction to Modern Machine Learning Technology, by Dong Wang, [http://mlbook.cslt.org Official website].
'''

----

Reading notes of interns
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a6/CSLTBOOK读书笔记.pdf Jiayao Wu (吴嘉瑶)]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/e/ec/读书笔记——于嘉威.pdf Jiawei Yu (于嘉威)]
*[[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf | San Zhang (张三)]]

ML book

2019-01-01T11:58:54Z

Yujiawei：

'''Introduction to Modern Machine Learning Technology, by Dong Wang, [http://mlbook.cslt.org Official website].
'''

----

Reading notes of interns
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a6/CSLTBOOK读书笔记.pdf Jiayao Wu (吴嘉瑶)]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/文件:读书笔记——于嘉威.pdf Jiawei Yu (于嘉威)]
*[[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf | San Zhang (张三)]]

ML book

2019-01-01T11:57:57Z

Yujiawei：

'''Introduction to Modern Machine Learning Technology, by Dong Wang, [http://mlbook.cslt.org Official website].
'''

----

Reading notes of interns
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/a/a6/CSLTBOOK读书笔记.pdf Jiayao Wu (吴嘉瑶)]
*[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/文件:读书笔记——于嘉威.pdf | Jiawei Yu（于嘉威）]
*[[媒体文件:OUTRAGEOUSLYLARGENEURALNETWORKSTHESPARSELY-GATEDMIXTURE-OF-EXPERTSLAYER.pdf | San Zhang (张三)]]