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| 第49行： |
第49行： |
| | |Zhiyuan Tang | | |Zhiyuan Tang |
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| − | * | + | * A brief survey on oral language evaluation, both on application and algorithm |
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| − | * | + | * A test version of Parrot |
| | + | * Patent of Parrot |
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| Date |
People |
Last Week |
This Week |
Task Tracking
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| 2017.12.25
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| Miao Zhang
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- Read the 16k model script
- The cough recognition codes left by Xiaofei
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- check the trivial database, make it more reasonable
- test the 16k model on the database
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| Ying Shi
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- some function for voice-printer
- speaker vector per utterance here
- speaker vector minus base speaker vector here
- CTC for Haibo Wang (Token accuracy on train set 92.80%, on cv set 89.74%) haven't test on test set
- QRcode
- speaker vector merge phone grayscale here
- speaker vector merge phone black-and-white map here
- speaker vector merge phone black-and-white map minus base vector here
- ivector baseline for kazak-uyghur LRE performance is 81.85% (Utt level)
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- Finish voice-checker copyright and submit the copyright in this Wednesday
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| Lantian Li
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- Complete the recipe for `VV_FACTOR`.
- 16K and 8K deep speaker model comparison.[5]
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- Patent for `VV_QuickMark`.
- Complete the demo for `VV_FACTOR`.[Assign to Shouyi Dai]
- Phonetic speaker embedding.
- Overlap training for speaker features.
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| Zhiyuan Tang
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- word level pronunciation accuracy based on likelihood (tell which word is well pronounced as '0' or badly pronounced '1')
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- model adaptation
- if possible, an alpha version Parrot for test inside lab to collect some data for better configurature
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