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| （1位用户的2个中间修订版本未显示） |
| 第34行： |
第34行： |
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| | * Continue to ask people to do human test | | * Continue to ask people to do human test |
| − | * Recording(the goal is to record 400 to 500 people) | + | * Recording(the goal is to record 400 to 500 people) [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cc/录音说明.pdf here] |
| − | [录音说明[http://cslt.riit.tsinghua.edu.cn/mediawiki/images/c/cc/录音说明.pdf]]
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| 第83行： |
第82行： |
| | |Zhiyuan Tang | | |Zhiyuan Tang |
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| − | * | + | * Organized the code and doc of Parrot system[http://192.168.0.51:5555/cgi-bin/cvss/cvss_request.pl?account=tangzy&step=view_request&cvssid=635] |
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| − | * | + | * Theoretical study of pronunciation detection |
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| Date |
People |
Last Week |
This Week
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| 2017.9.4
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Jiayin Cai
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- Got phonetic feat from a stronger phonetic network
- Finished part of the experiment using stronger phonetic feature.
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- Will be absent for school.
- But I will finish the remaining experiment.
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| Xiaofei Kang
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- improve the human Test website：, save the test recordings, decline the positive samples
- Recording and cutting the audios, a total of 12 groups
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- Continue to record the audios with zhangmiao
- Continue to ask people to do human test
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| Miao Zhang
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- Perform human test
- Record some other people and do the experiments again
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- Continue to ask people to do human test
- Recording(the goal is to record 400 to 500 people) here
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| Yanqing Wang
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| Ying Shi
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- multi-decoding ASR model with more pdfs. Performance better than before but not well enough
- add sperate symbel to discriminated kazak and uyghur word set
- group-based softmax(in progress)
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- finish group-based softmax and test the performance
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| Yixiang Chen
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| Lantian Li
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- Go on speaker segmentation tasks, see here
- Complete the phonetic-aware speaker segmentation.
- Word-level boundaries from the ASR.
- Word-level d-vector and clustering.
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| Zhiyuan Tang
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- Organized the code and doc of Parrot system[1]
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- Theoretical study of pronunciation detection
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| Date |
People |
Last Week |
This Week
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| 2017.9.4
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Jiayin Cai
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- Finished the phonetic i-vector experiment.
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- get BN feature and train i-vector LID.
- Get phonetic feat from a stronger phonetic network
- combine PTN and phonetic i-vector.
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| Xiaofei Kang
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- cutting audio and marking：21 speakers，a total of 1050 sentences
- Finish the new speaker recognition using the two recordings.
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- improve the human Test website
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| Miao Zhang
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- Perform human test on 21-style speech(add the disguise)
- Draw spectrums and t-SNE plots compared with experiment results
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| Yanqing Wang
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| Ying Shi
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- multi decodeing ASR model
- multi decodeing with fake Lid here
- read code about TTS
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- employ group softmax to train multi decoding ASR model
- synthesis one 'real' speech
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| Yixiang Chen
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| Lantian Li
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- Go on speaker segmentation tasks, see here
- Dimensionality reduction.
- Clustering.
- Visualization.
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- Phonetic-aware speaker segmentation.
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| Zhiyuan Tang
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- more indicators for VV scoring system, see [2].
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- more indicators, a demo with Shuai.
- toolbook writing.
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