Date |
People |
Last Week |
This Week
|
2017.7.31
|
Xiaofei Kang
|
- Finish the Speaker Recognition experiment:mouth with candy, normal chat
|
- Understand all the scripts of the Speaker Recognition experiment, and then learn to modify it.
|
Miao Zhang
|
- finish the experiments on five kinds of speech
|
- optimize the vad parameter to improve the performance
- finish the new human test website
|
Yanqing Wang
|
- retraining task: experiments are in progress, some time needed.
|
- all experiments should be done.
- TRP of retraining task.
|
Ying Shi
|
- apply mongodb and ajax on the data checking website
- with mongodb we are not depend on file lock anymore
- there is no need to save web state(except some cookie) after employ ajax
- continue to learn crawler
|
- setup server for m2asr (use sheep02)
- design crawler program
|
Yixiang Chen
|
- check paper
- plot tsne picture for 863 & fisher-5000 data set
- find why performance of wisper better than performance of chat
|
|
Lantian Li
|
|
|
Zhiyuan Tang
|
- Updated the auto-scoring system with the newest version of Kaldi. Several patches need to be repaired.
- Kaldi book writing.
|
- Initial version of auto-scoring system.
- Kaldi book writing.
|
Date |
People |
Last Week |
This Week
|
2017.7.24
|
Xiaofei Kang
|
- Prepare the data set of Speaker Recognition : pick out whisper
- Learn the the nnet3 model, run the nnet3 experiment
|
- Learn the Speaker Recognition model, run the Speaker Recognition experiment
|
Miao Zhang
|
- joined a meeting in Chinese Academy of Social Sciences
- worked out a recording plan
- learnt kaldi and did experiments
|
- test performances on 12 kinds of voices we have
|
Hui Tang
|
- help jiayin to configure dnn and lstm in kaldi
|
- left for postgraduate life
|
Yanqing Wang
|
- change the source code of Kaldi to implement retraining ( with zero value fixed )
- start to write a technical report of pruning the neural network ( not finished )
|
- finish the retraining task
- finish the technical report
|
Ying Shi
|
- data checking website
- learn how to write a crawler program
|
- write a more general crawler
- realign kazak train and test data with transfer learning model
|
Yixiang Chen
|
- use wisper audio for speaker recognition
- joined a meeting in Chinese Academy of Social Sciences
|
- test performances on 12 kinds of voices
|
Lantian Li
|
- deepspk on TASLP.
- speaker segmentation.
|
|
Zhiyuan Tang
|
- Replaced ATLAS lib with MKL lib for compiling auto-scoring system.
- Kaldi book writing.
|
- A basic demo for auto-scoring system.
- Kaldi book writing.
|