“FreeNeb Status Report 2016-12-12”版本间的差异

2016年12月13日 (二) 06:35的最后版本

This week

People	Last Week	This Week
Chao Xing	TTS	TTS
Ziwei Bai
Mengyuan Zhao	Compile kaldi for ARM11 board and delivered to roobo with a grammar-based decoding graph and an initial version of AM. Form our regulation with Dr.Wang, ZZY, and prepare on-board package for new member. Buy and install a PC for our new member Shugen Wang.	Supervise tonghuashun's 2000h AM training. Investigate chain model.
Zhiyong Zhang	Release the multi-thread decoder version0.2 code and document; Guide shugen's tutorial for decoder.	To break the decoder from the kaldi structure.
Yang Wei	Rewrite cleaning script to improve the performance, and use it to train new LM. The test result were improved a little. Modify tdnn and tdnn_discriminative script to solve problem.	Modify tdnn_discriminative script to solve problem. Run tdnn script from chain
Dong Wang	Deal with Roobo project. Contract almost done. To Shenzhen, for the second term collaboration. Looks good. Suggest for TTS. Seems an initial version with rich context is fine.	No show. Will be on APSIPA. May need to deal with the Tonghuashun progress stuff.
Shugen Wang	Familiar with fst. Study materials of deep learning.	Select the useful files in fst library.

Last week

People	Last Week	This Week
Chao Xing	TTS	TTS dnn method
Ziwei Bai	modify the CDSSM code	test the CDSSM model
Mengyuan Zhao	Finish svd and MPE training of pdf-3318 AM. Investigate kaldi, openfst, openblas cross-compile on ARM11 board.	Continue investigate kaldi cross-compile. Draft welcome letter for new colleague, and develop entry procedures. Train 2000h AM for Tonghuashun (if data arrive).
Zhiyong Zhang	Checked and modified part of ver0.1 vivi-decoder specific document; Finished the stream module of vivi-decoder.	To finished the vivi-decoder specific document of ver2; Continue to do some investigation on embedding decoder.
Yang Wei	Adjust the tdnn script from chain to train AM	Continue training AM with chain Rewrite cleaning script in order to improve performance of the LM.
Dong Wang	Tonghuashun data delivery negotiation Roboo project negotiation Smart station project discussion	Roboo project strategy discussion

@@ 第5行： / 第5行： @@
 |-
 |Chao Xing ||
+* TTS
 ||
+* TTS
 |-
 |Ziwei Bai ||
@@ 第23行： / 第23行： @@
 |-
 |Zhiyong Zhang ||
+* Release the multi-thread decoder version0.2 code and document;
+* Guide shugen's tutorial for decoder.
 ||
+* To break the decoder from the kaldi structure.
 |-
 |Yang Wei ||
+* Rewrite cleaning script to improve the performance, and use it to train new LM. The test result were improved a little.
+* Modify tdnn and tdnn_discriminative script to solve problem.
 ||
+* Modify tdnn_discriminative script to solve problem.
+* Run tdnn script from chain
 |-
 |Dong Wang||
+* Deal with Roobo project. Contract almost done.
+* To Shenzhen, for the second term collaboration. Looks good.
+* Suggest for TTS. Seems an initial version with rich context is fine.
 ||
+* No show. Will be on APSIPA.
+* May need to deal with the Tonghuashun progress stuff.
 |-
 |Shugen Wang||
+* Familiar with fst.
+* Study materials of deep learning.
 ||
+* Select the useful files in fst library.
 |-
 |}