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| （5位用户的11个中间修订版本未显示） |
| 第7行： |
第7行： |
| | |Miao Zhang | | |Miao Zhang |
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| − | * | + | * Read the paralinguistic paper and material from Teacher Li |
| | + | * work out the recording plan (delayed) |
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| − | * | + | * work out the recording plan with instruction from Teacher Li |
| | + | *check the book of deep learning |
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| 第15行： |
第17行： |
| | |Hui Tang | | |Hui Tang |
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| − | * | + | * finish checking the speech database |
| | + | * help jiayin learn kaldi by training a language identification model |
| | || | | || |
| − | * | + | * make sure which type of voice is what we need |
| | + | * help jiayin to configure dnn and lstm in kaldi |
| | |- | | |- |
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| 第24行： |
第28行： |
| | |Yanqing Wang | | |Yanqing Wang |
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| − | * | + | * check the former conclusions in a narrow network ( not finished yet ) |
| | + | * read the source code as a preparation for retrain task. |
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| − | * | + | * finish checking the former conclusions and try to find the applicable conditions. |
| | + | * finish the retrain task. |
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| 第33行： |
第39行： |
| | |Ying Shi | | |Ying Shi |
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| − | * | + | * kazak transfer learning (WER) |
| | + | ** dark:16.50 |
| | + | ** fix:18.33 |
| | + | ** org:23.69 |
| | + | * data checking website |
| | + | ** major function has been down |
| | + | ** save state when refresh or close the page is in progress |
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| − | * | + | * finish the website(employ text database) |
| | + | * design more powerfull crawler |
| | |- | | |- |
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| 第42行： |
第55行： |
| | |Yixiang Chen | | |Yixiang Chen |
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| − | * | + | * Through voiceprint spectrum synthetic speech |
| | + | * read paralinguistic and challenge of paralinguistic 2009-2017 |
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| − | * | + | * share paralinguistic |
| | |- | | |- |
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| Date |
People |
Last Week |
This Week
|
| 2017.7.17
|
Miao Zhang
|
- Read the paralinguistic paper and material from Teacher Li
- work out the recording plan (delayed)
|
- work out the recording plan with instruction from Teacher Li
- check the book of deep learning
|
| Hui Tang
|
- finish checking the speech database
- help jiayin learn kaldi by training a language identification model
|
- make sure which type of voice is what we need
- help jiayin to configure dnn and lstm in kaldi
|
| Yanqing Wang
|
- check the former conclusions in a narrow network ( not finished yet )
- read the source code as a preparation for retrain task.
|
- finish checking the former conclusions and try to find the applicable conditions.
- finish the retrain task.
|
| Ying Shi
|
- kazak transfer learning (WER)
- dark:16.50
- fix:18.33
- org:23.69
- data checking website
- major function has been down
- save state when refresh or close the page is in progress
|
- finish the website(employ text database)
- design more powerfull crawler
|
| Yixiang Chen
|
- Through voiceprint spectrum synthetic speech
- read paralinguistic and challenge of paralinguistic 2009-2017
|
|
| Lantian Li
|
|
|
| Zhiyuan Tang
|
- Replace the old version kaldi with new ones. (delayed)
- Gather Part 1: 'Speech, Speech Processing and Tools' of Kaldi book for further release. (delayed)
|
- Replace the old version kaldi with new ones.
- Gather Part 1: 'Speech, Speech Processing and Tools' of Kaldi book for further release.
|
| Date |
People |
Last Week |
This Week
|
| 2017.7.10
|
Miao Zhang
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- A report about trivial events
- Finish the test website with Tanghui
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- Read the paper of Paralinguistics
- Make a plan for recording and start to record hopefully.
|
| Hui Tang
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- completed the test web site web
- finished checking the subset of our speech databases (nearly 800 sentences)
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- finish checking the reminder of the databases (nearly 2500 sentences)
|
| Yanqing Wang
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- use different activation function to prune result
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- make the network narrow and test the former conclusions.
- change source code to retrain the neural network.
|
| Ying Shi
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- help zheling to finish his first crawler program
- chech hazak speech data
- train: 1346 utterances' WER large than 20% (utterance level WER)
- test: 759 utterances' WER large than 20%(utterance level WER)
- transfer learning based on th30 and wsj (performance is poor)
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- tools for speech data checking
- transfer learning based on large Chinese ASR model
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| Yixiang Chen
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- plot for “learning deep speaker features”
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- comprehend Paralinguistics
- record voice
|
| Lantian Li
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- deep speaker feature
- segmentation is still not suitable.
- visualization with the t-sne seems cool.
- help Zhangzy decode d-vector and re-train a new deep speaker model.
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- more details of segmentation experiments.
- prepare the weekly meeting.
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| Zhiyuan Tang
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- Scanned the source code of auto-scoring system;
- A report about the research of the speech group (Thursday).
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- Replace the old version kaldi with new ones.
- Gather Part 1: 'Speech, Speech Processing and Tools' of Kaldi book for further release.
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