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| 第50行： |
第50行： |
| | |Ying Shi | | |Ying Shi |
| | || | | || |
| − | * | + | * mult-decoding ASR model with more pdfs down. Performance better than before but not well enough |
| | + | * add sperate symbel to discriminated kazak and uyghur |
| | + | * group-based softmax(in progress) |
| | || | | || |
| − | * | + | * finish group-based softmax |
| | |- | | |- |
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| Date |
People |
Last Week |
This Week
|
| 2017.9.4
|
Jiayin Cai
|
- Got phonetic feat from a stronger phonetic network
- Finished part of the experiment using stronger phonetic feature.
|
- Will be absent for school.
- But I will finish the remaining experiment.
|
| Xiaofei Kang
|
- 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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- Recording the 440 groups audios left with zhangmiao
- Continue to ask people to do human test
|
| Miao Zhang
|
- Perform human test
- Record some other people and do the experiments again
|
- Continue to ask people to do human test
- Recording(the goal is to record 400 to 500 people)
|
| Yanqing Wang
|
|
|
| Ying Shi
|
- mult-decoding ASR model with more pdfs down. Performance better than before but not well enough
- add sperate symbel to discriminated kazak and uyghur
- group-based softmax(in progress)
|
- finish group-based softmax
|
| Yixiang Chen
|
|
|
| Lantian Li
|
|
|
| Zhiyuan Tang
|
|
|
| Date |
People |
Last Week |
This Week
|
| 2017.9.4
|
Jiayin Cai
|
- Finished the phonetic i-vector experiment.
|
- get BN feature and train i-vector LID.
- Get phonetic feat from a stronger phonetic network
- combine PTN and phonetic i-vector.
|
| Xiaofei Kang
|
- 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
|
| Miao Zhang
|
|
- Perform human test on 21-style speech(add the disguise)
- Draw spectrums and t-SNE plots compared with experiment results
|
| Yanqing Wang
|
|
|
| Ying Shi
|
- multi decodeing ASR model
- multi decodeing with fake Lid here
- read code about TTS
|
- employ group softmax to train multi decoding ASR model
- synthesis one 'real' speech
|
| Yixiang Chen
|
|
|
| Lantian Li
|
- Go on speaker segmentation tasks, see here
- Dimensionality reduction.
- Clustering.
- Visualization.
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- Phonetic-aware speaker segmentation.
|
| Zhiyuan Tang
|
- more indicators for VV scoring system, see [1].
|
- more indicators, a demo with Shuai.
- toolbook writing.
|
