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| 第35行： |
第35行： |
| | * Learn MFCC extraction mechanism | | * Learn MFCC extraction mechanism |
| | * Read kaldi computer-feature code and find how to change MFCC | | * Read kaldi computer-feature code and find how to change MFCC |
| − | * Frequency-weighting for freq-domain feature extraction. | + | * Replay detection |
| | || | | || |
| − | * Continue Replay test | + | * Continue Replay detection |
| | |- | | |- |
| | | | |
| 第50行： |
第50行： |
| | * CSLT-Replay detection. | | * CSLT-Replay detection. |
| | ** Baseline done (Freq / Mel domain). | | ** Baseline done (Freq / Mel domain). |
| − | ** Performance-driven based Freq-Weighting and Freq-Warping --> Yixiang. | + | ** performance-driven based Freq-Weighting and Freq-Warping --> Yixiang. |
| | || | | || |
| | * LRE task. | | * LRE task. |
| Date |
People |
Last Week |
This Week
|
| 2016.11.21
|
Hang Luo
|
|
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| Ying Shi
|
- fighting with kazak speech recognition system:because the huge size of HCLG.fst the decoding job always make the sever done.
There are several method I have tried
- change the size or word list and corpus this method not worked very well
- prune the LM .And the parameter been used to prune the LM is 2e-7 the size of LM reduce from 290M to 60M but the result about wer is very poor
- I have upload some result about several experiment to CVSS[1]
|
- there are too much private affairs about myself so the job about visualization last week has been delayed I will try my best to finish it the week
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| Yixiang Chen
|
- Learn MFCC extraction mechanism
- Read kaldi computer-feature code and find how to change MFCC
- Replay detection
|
- Continue Replay detection
|
| Lantian Li
|
- Joint-training on SRE and LRE (LRE task). [2]
- Tdnn is better than LSTM.
- LRE is a long-term task.
- Briefly overview Interspeech SRE-related papers.
- CSLT-Replay detection.
- Baseline done (Freq / Mel domain).
- performance-driven based Freq-Weighting and Freq-Warping --> Yixiang.
|
- LRE task.
- Replay detection.
|
| Zhiyuan Tang
|
|
|
| Date |
People |
Last Week |
This Week
|
| 2016.11.14
|
Hang Luo
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- read papers about highway connection and multi-task
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- Explore the language recognition model on speech+language joint training, find how to use languange information.
- finish ML-book
|
| Ying Shi
|
- kazaka recognition baseline finished here
|
- figuie of ml-book read paper nn visualization
|
| Yixiang Chen
|
- Motify the ML-book and read paper.
- Prepare the replay detection baseline.[3]
|
- Complete the replay baseline and attempt to modify MFCC calculation.
|
| Lantian Li
|
- Complete the Joint-training on TASLP (speaker parts). [4]
- Joint-training on SRE and LRE (Still over-fitting !). [5]
- Read some papers and download four database. [6]
- CSLT-Replay detection database is OK! [/work4/lilt/Replay]
|
- Joint-training on SRE and LRE.
- Baseline system on replay detection.
|
| Zhiyuan Tang
|
- finished the additinal experiments of joint learning (speech & spk) for taslp (multi-task, ivector as part of input)[7].
- prepare a brief review of interspeech16.
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- report for Weekly Reading (a brief review of interspeech16);
- joint training for bilingual: language scores as decoding mask, explore the best info receivier by studying single tasks with extra info.
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